* using log directory 'd:/Rcompile/CRANpkg/local/2.13/censReg.Rcheck' * using R version 2.13.2 (2011-09-30) * using platform: i386-pc-mingw32 (32-bit) * using session charset: ISO8859-1 * checking for file 'censReg/DESCRIPTION' ... OK * this is package 'censReg' version '0.5-6' * checking package namespace information ... OK * checking package dependencies ... OK * checking if this is a source package ... OK * checking whether package 'censReg' can be installed ... OK * checking installed package size ... OK * checking package directory ... OK * checking for portable file names ... OK * checking DESCRIPTION meta-information ... OK * checking top-level files ... OK * checking index information ... OK * checking package subdirectories ... OK * checking R files for non-ASCII characters ... OK * checking R files for syntax errors ... OK * checking whether the package can be loaded ... OK * checking whether the package can be loaded with stated dependencies ... OK * checking whether the package can be unloaded cleanly ... OK * checking whether the namespace can be loaded with stated dependencies ... OK * checking whether the namespace can be unloaded cleanly ... OK * checking for unstated dependencies in R code ... OK * checking S3 generic/method consistency ... OK * checking replacement functions ... OK * checking foreign function calls ... OK * checking R code for possible problems ... NOTE censReg: no visible binding for global variable 'validObs2' * checking Rd files ... OK * checking Rd metadata ... OK * checking Rd cross-references ... OK * checking for missing documentation entries ... OK * checking for code/documentation mismatches ... OK * checking Rd \usage sections ... OK * checking Rd contents ... OK * checking for unstated dependencies in examples ... OK * checking sizes of PDF files under inst/doc ... OK * checking examples ... OK * checking for unstated dependencies in tests ... OK * checking tests ... OK Running 'censRegPanelLargerTest.R' Comparing 'censRegPanelLargerTest.Rout' to 'censRegPanelLargerTest.Rout.save' ...5,18d4 < < Attaching package: 'bdsmatrix' < < The following object(s) are masked from 'package:base': < < backsolve < < < Attaching package: 'zoo' < < The following object(s) are masked from 'package:base': < < as.Date, as.Date.numeric < 84c70 < BFGSR maximization, 22 iterations --- > BFGSR maximization, 15 iterations 90,94c76,80 < (Intercept) -1.086421 0.226316 -4.8005 1.583e-06 *** < x1 2.069543 0.096852 21.3681 < 2.2e-16 *** < x2 3.114673 0.326638 9.5356 < 2.2e-16 *** < logSigmaMu -0.105526 0.130947 -0.8059 0.4203 < logSigmaNu 0.025589 0.069591 0.3677 0.7131 --- > (Intercept) -1.086695 0.226326 -4.8015 1.575e-06 *** > x1 2.069552 0.096853 21.3679 < 2.2e-16 *** > x2 3.115097 0.326649 9.5365 < 2.2e-16 *** > logSigmaMu -0.105561 0.130954 -0.8061 0.4202 > logSigmaNu 0.025601 0.069593 0.3679 0.7130 Running 'censRegPanelTest.R' Comparing 'censRegPanelTest.Rout' to 'censRegPanelTest.Rout.save' ...5,18d4 < < Attaching package: 'bdsmatrix' < < The following object(s) are masked from 'package:base': < < backsolve < < < Attaching package: 'zoo' < < The following object(s) are masked from 'package:base': < < as.Date, as.Date.numeric < 167c153 < 1.712016e-11 4.533357e-11 1.345407e-11 8.216983e-12 6.208772e-11 --- > 1.712246e-11 4.533664e-11 1.345291e-11 8.220785e-12 6.208178e-11 559c545 < -0.37136 1.68022 2.24945 -0.12898 -0.01231 --- > -0.36562 1.68000 2.24054 -0.12955 -0.01241 564,568c550,552 < BFGSR maximization, 78 iterations < Return code 3: Last step could not find a value above the current. < Boundary of parameter space? < Consider switching to a more robust optimisation method temporarily. < Log-Likelihood: -73.19891 --- > BFGSR maximization, 10 iterations > Return code 2: successive function values within tolerance limit > Log-Likelihood: -73.19882 572,576c556,560 < (Intercept) -0.37136 0.47508 -0.7817 0.434406 < x1 1.68022 0.20929 8.0281 9.902e-16 *** < x2 2.24945 0.67423 3.3363 0.000849 *** < logSigmaMu -0.12898 0.25797 -0.5000 0.617095 < logSigmaNu -0.01231 0.12971 -0.0949 0.924388 --- > (Intercept) -0.365623 0.474457 -0.7706 0.4409359 > x1 1.680004 0.209222 8.0298 9.767e-16 *** > x2 2.240544 0.673889 3.3248 0.0008848 *** > logSigmaMu -0.129547 0.258070 -0.5020 0.6156791 > logSigmaNu -0.012408 0.129690 -0.0957 0.9237792 591,595c575,579 < (Intercept) -0.37136 0.47508 -0.782 0.434406 < x1 1.68022 0.20929 8.028 9.9e-16 *** < x2 2.24945 0.67423 3.336 0.000849 *** < logSigmaMu -0.12898 0.25797 -0.500 0.617095 < logSigmaNu -0.01231 0.12971 -0.095 0.924388 --- > (Intercept) -0.36562 0.47446 -0.771 0.440936 > x1 1.68000 0.20922 8.030 9.77e-16 *** > x2 2.24054 0.67389 3.325 0.000885 *** > logSigmaMu -0.12955 0.25807 -0.502 0.615679 > logSigmaNu -0.01241 0.12969 -0.096 0.923779 599,603c583,585 < BFGSR maximization, 78 iterations < Return code 3: Last step could not find a value above the current. < Boundary of parameter space? < Consider switching to a more robust optimisation method temporarily. < Log-likelihood: -73.19891 on 5 Df --- > BFGSR maximization, 10 iterations > Return code 2: successive function values within tolerance limit > Log-likelihood: -73.19882 on 5 Df 607c589 < [1] -73.19891 --- > [1] -73.19882 611c593 < -0.37135743 1.68022341 2.24944658 -0.12897617 -0.01231036 --- > -0.36562324 1.68000398 2.24054396 -0.12954711 -0.01240798 615c597 < 0.009075968 0.003078578 -0.014460751 -0.002322882 -0.003691947 --- > 1.752053e-07 6.964484e-07 -3.816903e-07 9.595136e-07 -6.239532e-06 619,623c601,605 < (Intercept) -13.301661 -4.093962 -7.2991410 -2.139571 -1.2852515 < x1 -4.093962 -26.064481 -1.9877417 4.480367 4.7559516 < x2 -7.299141 -1.987742 -6.2316706 -0.635029 -0.4371657 < logSigmaMu -2.139571 4.480367 -0.6350291 -16.686529 -3.7152993 < logSigmaNu -1.285252 4.755952 -0.4371657 -3.715299 -61.0456782 --- > (Intercept) -13.321986 -4.096607 -7.3075700 -2.1079020 -1.3088195 > x1 -4.096607 -26.076783 -1.9905303 4.4849634 4.7620874 > x2 -7.307570 -1.990530 -6.2362548 -0.6238247 -0.4803056 > logSigmaMu -2.107902 4.484963 -0.6238247 -16.6581988 -3.7224013 > logSigmaNu -1.308819 4.762087 -0.4803056 -3.7224012 -61.0683295 626c608 < [1] 3 --- > [1] 2 629c611 < [1] "Last step could not find a value above the current.\nBoundary of parameter space? \nConsider switching to a more robust optimisation method temporarily." --- > [1] "successive function values within tolerance limit" 632,658c614 < $last.step$theta0 < (Intercept) x1 x2 logSigmaMu logSigmaNu < -0.37127623 1.68010971 2.24929333 -0.12892341 -0.01202639 < < $last.step$f0 < [1] -73.19892 < attr(,"gradient") < [,1] [,2] [,3] [,4] [,5] < [1,] -0.85124251 0.22333872 -0.07359518 -0.1450774 -0.9699650 < [2,] -1.70242394 0.04659345 -1.19052062 1.6818306 -1.0121910 < [3,] 1.74885428 0.33406722 1.72337367 1.8335377 1.7903543 < [4,] 0.15550591 -0.20322398 -0.43355651 -0.6890950 -1.4272979 < [5,] 0.12980792 0.98252611 0.68649740 -0.6768551 -0.5641887 < [6,] 0.33012512 -0.30387829 0.38337796 -0.4919475 -1.5840574 < [7,] -0.07932839 -3.18368142 -0.23653029 -0.6772036 6.0268811 < [8,] -0.26543873 0.37770840 0.05569618 -0.5390049 -1.1086437 < [9,] 1.14851417 0.59381579 0.30312589 0.1349049 -1.6151002 < [10,] -0.43311208 -0.40390762 -0.15191196 -0.4702012 -1.9375967 < [11,] -0.02763064 1.45029818 -0.64461207 -0.9184071 2.7412254 < [12,] 1.20964627 0.53871068 0.61052788 0.2046145 -1.7334897 < [13,] 0.53630853 -0.22491596 0.33091567 -0.3684857 -1.4093427 < [14,] -1.81347588 -1.30689261 -0.91957743 1.9573066 2.5740475 < [15,] -0.07700870 1.08704076 -0.45724121 -0.8407603 0.2075684 < < $last.step$climb < [1] 1395163.6 -1953348.6 -2632901.2 906426.5 4878614.5 < --- > NULL 665c621 < [1] 78 --- > [1] 10 672,686c628,642 < [1,] -0.85167409 0.22331678 -0.07368051 -0.1448281 -0.9694094 < [2,] -1.70270955 0.04638561 -1.19082537 1.6824195 -1.0122613 < [3,] 1.74939868 0.33329439 1.72399441 1.8346760 1.7920670 < [4,] 0.15530287 -0.20340113 -0.43402171 -0.6891423 -1.4260700 < [5,] 0.12989186 0.98256753 0.68677349 -0.6769072 -0.5637292 < [6,] 0.32994172 -0.30461874 0.38342593 -0.4919331 -1.5831151 < [7,] -0.07925350 -3.18584354 -0.23665970 -0.6773634 6.0322797 < [8,] -0.26529227 0.37760053 0.05575321 -0.5391667 -1.1084131 < [9,] 1.14878340 0.59380227 0.30318833 0.1350638 -1.6148440 < [10,] -0.43320001 -0.40435136 -0.15192511 -0.4700783 -1.9371123 < [11,] -0.02756020 1.45092753 -0.64485367 -0.9187266 2.7439952 < [12,] 1.20964779 0.53883010 0.61044978 0.2044499 -1.7328721 < [13,] 0.53661642 -0.22523664 0.33109848 -0.3681865 -1.4087672 < [14,] -1.81399507 -1.30778552 -0.91983126 1.9584241 2.5756776 < [15,] -0.07682208 1.08759079 -0.45734705 -0.8410240 0.2088822 --- > [1,] -0.85308347 0.22558499 -0.07261018 -0.1440032 -0.9609406 > [2,] -1.70309377 0.04839407 -1.18987568 1.6807832 -1.0133140 > [3,] 1.75084257 0.33367521 1.72755756 1.8353810 1.8043722 > [4,] 0.15577754 -0.20240005 -0.43224639 -0.6891080 -1.4351384 > [5,] 0.12950028 0.98433611 0.68943609 -0.6770203 -0.5543808 > [6,] 0.33035927 -0.30928374 0.38471150 -0.4921375 -1.5793720 > [7,] -0.08212546 -3.18521797 -0.23724723 -0.6766314 6.0271914 > [8,] -0.26685304 0.37888545 0.05565469 -0.5385827 -1.1091112 > [9,] 1.14824187 0.59396378 0.30328558 0.1329804 -1.6172740 > [10,] -0.43505399 -0.40640581 -0.15245987 -0.4687583 -1.9364985 > [11,] -0.02839190 1.44795720 -0.64407725 -0.9172652 2.7349914 > [12,] 1.21047895 0.53669838 0.61328533 0.2055545 -1.7351239 > [13,] 0.53592708 -0.22523038 0.33117481 -0.3691167 -1.4082836 > [14,] -1.81460685 -1.30608988 -0.91951004 1.9573173 2.5815575 > [15,] -0.07791890 1.08513335 -0.45707930 -0.8393920 0.2013182 775c731 < 4.63412 1.68002 2.24092 -0.12952 -0.01241 --- > 4.63438 1.68000 2.24054 -0.12955 -0.01241 780c736 < BFGSR maximization, 85 iterations --- > BFGSR maximization, 10 iterations 786,790c742,746 < (Intercept) 4.634124 0.474485 9.7666 < 2.2e-16 *** < x1 1.680025 0.209226 8.0297 9.769e-16 *** < x2 2.240916 0.673902 3.3253 0.0008833 *** < logSigmaMu -0.129521 0.258065 -0.5019 0.6157439 < logSigmaNu -0.012408 0.129690 -0.0957 0.9237816 --- > (Intercept) 4.634377 0.474457 9.7677 < 2.2e-16 *** > x1 1.680004 0.209222 8.0298 9.767e-16 *** > x2 2.240544 0.673889 3.3248 0.0008848 *** > logSigmaMu -0.129547 0.258070 -0.5020 0.6156791 > logSigmaNu -0.012408 0.129690 -0.0957 0.9237792 805,809c761,765 < (Intercept) 4.63412 0.47449 9.767 < 2e-16 *** < x1 1.68002 0.20923 8.030 9.77e-16 *** < x2 2.24092 0.67390 3.325 0.000883 *** < logSigmaMu -0.12952 0.25807 -0.502 0.615744 < logSigmaNu -0.01241 0.12969 -0.096 0.923782 --- > (Intercept) 4.63438 0.47446 9.768 < 2e-16 *** > x1 1.68000 0.20922 8.030 9.77e-16 *** > x2 2.24054 0.67389 3.325 0.000885 *** > logSigmaMu -0.12955 0.25807 -0.502 0.615679 > logSigmaNu -0.01241 0.12969 -0.096 0.923779 813c769 < BFGSR maximization, 85 iterations --- > BFGSR maximization, 10 iterations 819c775 < 4.63412400 1.68002465 2.24091601 -0.12952066 -0.01240765 --- > 4.63437676 1.68000398 2.24054396 -0.12954711 -0.01240798 822c778 < 4.6341240 1.6800247 2.2409160 0.8785164 0.9876690 --- > 4.6343768 1.6800040 2.2405440 0.8784932 0.9876687 825,829c781,785 < (Intercept) 0.225136310 -0.020576381 -0.254623814 -0.02383788 -0.002977804 < x1 -0.020576381 0.043775350 0.008568343 0.01340501 0.002970195 < x2 -0.254623814 0.008568343 0.454143793 0.01718754 0.001514811 < logSigmaMu -0.023837877 0.013405013 0.017187538 0.06659762 -0.002638080 < logSigmaNu -0.002977804 0.002970195 0.001514811 -0.00263808 0.016819582 --- > (Intercept) 0.225109676 -0.020570169 -0.254602918 -0.023824169 -0.002973956 > x1 -0.020570169 0.043773979 0.008562227 0.013404084 0.002969957 > x2 -0.254602918 0.008562227 0.454125958 0.017179555 0.001505443 > logSigmaMu -0.023824169 0.013404084 0.017179555 0.066600343 -0.002638875 > logSigmaNu -0.002973956 0.002969957 0.001505443 -0.002638875 0.016819446 832,836c788,792 < (Intercept) 0.225136310 -0.020576381 -0.254623814 -0.020941967 -0.002941085 < x1 -0.020576381 0.043775350 0.008568343 0.011776524 0.002933570 < x2 -0.254623814 0.008568343 0.454143793 0.015099534 0.001496132 < sigmaMu -0.020941967 0.011776524 0.015099534 0.051399449 -0.002289018 < sigmaNu -0.002941085 0.002933570 0.001496132 -0.002289018 0.016407335 --- > (Intercept) 0.225109676 -0.020570169 -0.254602918 -0.020929371 -0.002937284 > x1 -0.020570169 0.043773979 0.008562227 0.011775397 0.002933333 > x2 -0.254602918 0.008562227 0.454125958 0.015092122 0.001486879 > sigmaMu -0.020929371 0.011775397 0.015092122 0.051398836 -0.002289647 > sigmaNu -0.002937284 0.002933333 0.001486879 -0.002289647 0.016407191 847c803 < 4.63412400 1.68002465 2.24091601 -0.12952066 -0.01240765 --- > 4.63437676 1.68000398 2.24054396 -0.12954711 -0.01240798 851c807 < 5.077429e-04 -1.233404e-04 -5.313245e-04 -4.727327e-05 1.259246e-04 --- > 1.752053e-07 6.964484e-07 -3.816903e-07 9.595136e-07 -6.239532e-06 855,859c811,815 < (Intercept) -13.321132 -4.096530 -7.3072413 -2.1095351 -1.3077771 < x1 -4.096530 -26.076326 -1.9904251 4.4847651 4.7622704 < x2 -7.307241 -1.990425 -6.2360985 -0.6244461 -0.4785144 < logSigmaMu -2.109535 4.484765 -0.6244461 -16.6596348 -3.7222054 < logSigmaNu -1.307777 4.762270 -0.4785144 -3.7222054 -61.0677349 --- > (Intercept) -13.321986 -4.096607 -7.3075700 -2.1079020 -1.3088195 > x1 -4.096607 -26.076783 -1.9905303 4.4849634 4.7620874 > x2 -7.307570 -1.990530 -6.2362548 -0.6238247 -0.4803056 > logSigmaMu -2.107902 4.484963 -0.6238247 -16.6581988 -3.7224013 > logSigmaNu -1.308819 4.762087 -0.4803056 -3.7224013 -61.0683295 875c831 < [1] 85 --- > [1] 10 882,896c838,852 < [1,] -0.85302414 0.2254862 -0.07265604 -0.1440378 -0.9613116 < [2,] -1.70306548 0.0483026 -1.18990910 1.6808315 -1.0132807 < [3,] 1.75079195 0.3336204 1.72741970 1.8353862 1.8039070 < [4,] 0.15576538 -0.2024502 -0.43232104 -0.6890921 -1.4347545 < [5,] 0.12952752 0.9842527 0.68933279 -0.6770115 -0.5547670 < [6,] 0.33034535 -0.3091339 0.38466860 -0.4921191 -1.5795098 < [7,] -0.08199473 -3.1852895 -0.23722335 -0.6766680 6.0275474 < [8,] -0.26677244 0.3788224 0.05566486 -0.5386154 -1.1090698 < [9,] 1.14827194 0.5939336 0.30328433 0.1330830 -1.6171699 < [10,] -0.43496537 -0.4063309 -0.15243001 -0.4688207 -1.9365073 < [11,] -0.02835285 1.4480829 -0.64410819 -0.9173375 2.7353872 < [12,] 1.21043953 0.5367804 0.61316633 0.2055136 -1.7350284 < [13,] 0.53598257 -0.2252508 0.33118703 -0.3690546 -1.4082836 < [14,] -1.81458043 -1.3061849 -0.91952340 1.9573731 2.5813236 < [15,] -0.07786108 1.0852356 -0.45708385 -0.8394780 0.2016434 --- > [1,] -0.85308347 0.22558499 -0.07261018 -0.1440032 -0.9609406 > [2,] -1.70309377 0.04839407 -1.18987568 1.6807832 -1.0133140 > [3,] 1.75084257 0.33367521 1.72755756 1.8353810 1.8043722 > [4,] 0.15577754 -0.20240005 -0.43224639 -0.6891080 -1.4351384 > [5,] 0.12950028 0.98433611 0.68943609 -0.6770203 -0.5543808 > [6,] 0.33035927 -0.30928374 0.38471150 -0.4921375 -1.5793720 > [7,] -0.08212546 -3.18521797 -0.23724723 -0.6766314 6.0271914 > [8,] -0.26685304 0.37888545 0.05565469 -0.5385827 -1.1091112 > [9,] 1.14824187 0.59396378 0.30328558 0.1329804 -1.6172740 > [10,] -0.43505399 -0.40640581 -0.15245987 -0.4687583 -1.9364985 > [11,] -0.02839190 1.44795720 -0.64407725 -0.9172652 2.7349914 > [12,] 1.21047895 0.53669838 0.61328533 0.2055545 -1.7351239 > [13,] 0.53592708 -0.22523038 0.33117481 -0.3691167 -1.4082836 > [14,] -1.81460685 -1.30608988 -0.91951004 1.9573173 2.5815575 > [15,] -0.07791890 1.08513335 -0.45707930 -0.8393920 0.2013182 948c904 < 0.36978 -1.68030 -2.24683 -0.12908 -0.01247 --- > 0.36562 -1.68000 -2.24054 -0.12955 -0.01241 953c909 < BFGSR maximization, 77 iterations --- > BFGSR maximization, 10 iterations 955c911 < Log-Likelihood: -73.19887 --- > Log-Likelihood: -73.19882 959,963c915,919 < (Intercept) 0.369782 0.474910 0.7786 0.4361949 < x1 -1.680298 0.209262 -8.0297 9.775e-16 *** < x2 -2.246829 0.674073 -3.3332 0.0008585 *** < logSigmaMu -0.129084 0.257956 -0.5004 0.6167863 < logSigmaNu -0.012467 0.129689 -0.0961 0.9234181 --- > (Intercept) 0.365623 0.474457 0.7706 0.4409359 > x1 -1.680004 0.209222 -8.0298 9.767e-16 *** > x2 -2.240544 0.673889 -3.3248 0.0008848 *** > logSigmaMu -0.129547 0.258070 -0.5020 0.6156791 > logSigmaNu -0.012408 0.129690 -0.0957 0.9237792 979,983c935,939 < (Intercept) 0.36978 0.47491 0.779 0.436195 < x1 -1.68030 0.20926 -8.030 9.78e-16 *** < x2 -2.24683 0.67407 -3.333 0.000858 *** < logSigmaMu -0.12908 0.25796 -0.500 0.616786 < logSigmaNu -0.01247 0.12969 -0.096 0.923418 --- > (Intercept) 0.36562 0.47446 0.771 0.440936 > x1 -1.68000 0.20922 -8.030 9.77e-16 *** > x2 -2.24054 0.67389 -3.325 0.000885 *** > logSigmaMu -0.12955 0.25807 -0.502 0.615679 > logSigmaNu -0.01241 0.12969 -0.096 0.923779 987c943 < BFGSR maximization, 77 iterations --- > BFGSR maximization, 10 iterations 989c945 < Log-likelihood: -73.19887 on 5 Df --- > Log-likelihood: -73.19882 on 5 Df 993c949 < 0.36978168 -1.68029800 -2.24682899 -0.12908383 -0.01246687 --- > 0.36562324 -1.68000398 -2.24054396 -0.12954711 -0.01240798 996c952 < 0.3697817 -1.6802980 -2.2468290 0.8789003 0.9876105 --- > 0.3656232 -1.6800040 -2.2405440 0.8784932 0.9876687 999,1003c955,959 < (Intercept) 0.225539819 -0.020670074 -0.254925758 0.024038798 0.003038668 < x1 -0.020670074 0.043790446 0.008663352 -0.013416004 -0.002972537 < x2 -0.254925758 0.008663352 0.454374622 -0.017304322 -0.001666102 < logSigmaMu 0.024038798 -0.013416004 -0.017304322 0.066541317 -0.002623311 < logSigmaNu 0.003038668 -0.002972537 -0.001666102 -0.002623311 0.016819232 --- > (Intercept) 0.225109676 -0.020570169 -0.254602918 0.023824169 0.002973956 > x1 -0.020570169 0.043773979 0.008562227 -0.013404084 -0.002969957 > x2 -0.254602918 0.008562227 0.454125958 -0.017179555 -0.001505443 > logSigmaMu 0.023824169 -0.013404084 -0.017179554 0.066600343 -0.002638875 > logSigmaNu 0.002973956 -0.002969957 -0.001505443 -0.002638875 0.016819446 1006,1010c962,966 < (Intercept) 0.22553982 -0.020670074 -0.254925758 0.021127706 0.003001020 < x1 -0.02067007 0.043790446 0.008663352 -0.011791330 -0.002935709 < x2 -0.25492576 0.008663352 0.454374622 -0.015208774 -0.001645460 < sigmaMu 0.02112771 -0.011791330 -0.015208774 0.051400886 -0.002277063 < sigmaNu 0.00300102 -0.002935709 -0.001645460 -0.002277063 0.016405050 --- > (Intercept) 0.225109676 -0.020570169 -0.254602918 0.020929371 0.002937284 > x1 -0.020570169 0.043773979 0.008562227 -0.011775397 -0.002933333 > x2 -0.254602918 0.008562227 0.454125958 -0.015092122 -0.001486879 > sigmaMu 0.020929371 -0.011775397 -0.015092122 0.051398836 -0.002289647 > sigmaNu 0.002937284 -0.002933333 -0.001486879 -0.002289647 0.016407191 1012c968 < 'log Lik.' -73.19887 (df=5) --- > 'log Lik.' -73.19882 (df=5) 1014c970 < [1] -40.0000 156.3977 --- > [1] -40.0000 156.3976 1017c973 < [1] -73.19887 --- > [1] -73.19882 1021c977 < 0.36978168 -1.68029800 -2.24682899 -0.12908383 -0.01246687 --- > 0.36562324 -1.68000398 -2.24054396 -0.12954711 -0.01240798 1025c981 < -0.007347355 0.001341097 0.009660427 -0.001317193 0.005749896 --- > -1.752053e-07 -6.964484e-07 3.816903e-07 9.595136e-07 -6.239532e-06 1029,1033c985,989 < (Intercept) -13.307220 -4.095497 -7.3019106 2.1336115 1.2898091 < x1 -4.095497 -26.072313 -1.9888263 -4.4821523 -4.7640540 < x2 -7.301911 -1.988826 -6.2338544 0.6334753 0.4489969 < logSigmaMu 2.133612 -4.482152 0.6334753 -16.6845430 -3.7171735 < logSigmaNu 1.289809 -4.764054 0.4489969 -3.7171735 -61.0660386 --- > (Intercept) -13.321986 -4.096607 -7.3075700 2.1079020 1.3088195 > x1 -4.096607 -26.076783 -1.9905303 -4.4849634 -4.7620874 > x2 -7.307570 -1.990530 -6.2362548 0.6238247 0.4803056 > logSigmaMu 2.107902 -4.484963 0.6238247 -16.6581988 -3.7224012 > logSigmaNu 1.308819 -4.762087 0.4803056 -3.7224013 -61.0683295 1049c1005 < [1] 77 --- > [1] 10 1056,1070c1012,1026 < [1,] 0.85218884 -0.22399916 0.07337339 -0.1445099 -0.9668655 < [2,] 1.70266599 -0.04692497 1.19047616 1.6818362 -1.0127461 < [3,] -1.74990422 -0.33271394 -1.72525154 1.8354160 1.7965149 < [4,] -0.15535992 0.20322840 0.43370088 -0.6890374 -1.4283201 < [5,] -0.12986960 -0.98303034 -0.68771807 -0.6769622 -0.5607128 < [6,] -0.32994812 0.30672209 -0.38387003 -0.4919172 -1.5815406 < [7,] 0.07998922 3.18677324 0.23688336 -0.6772898 6.0338587 < [8,] 0.26556067 -0.37786284 -0.05580381 -0.5391522 -1.1083996 < [9,] -1.14870704 -0.59366231 -0.30323833 0.1345331 -1.6154658 < [10,] 0.43362618 0.40517990 0.15199267 -0.4697203 -1.9366274 < [11,] 0.02772966 -1.45027164 0.64468061 -0.9185715 2.7424675 < [12,] -1.20976769 -0.53814813 -0.61121621 0.2046059 -1.7332751 < [13,] -0.53668783 0.22548885 -0.33128533 -0.3681577 -1.4083010 < [14,] 1.81420490 1.30760032 0.91971982 1.9584565 2.5779647 < [15,] 0.07693160 -1.08703838 0.45721687 -0.8408467 0.2071980 --- > [1,] 0.85308347 -0.22558499 0.07261018 -0.1440032 -0.9609406 > [2,] 1.70309377 -0.04839407 1.18987568 1.6807832 -1.0133140 > [3,] -1.75084257 -0.33367521 -1.72755756 1.8353810 1.8043722 > [4,] -0.15577754 0.20240005 0.43224639 -0.6891080 -1.4351384 > [5,] -0.12950028 -0.98433611 -0.68943609 -0.6770203 -0.5543808 > [6,] -0.33035927 0.30928374 -0.38471150 -0.4921375 -1.5793720 > [7,] 0.08212546 3.18521797 0.23724723 -0.6766314 6.0271914 > [8,] 0.26685304 -0.37888545 -0.05565469 -0.5385827 -1.1091112 > [9,] -1.14824187 -0.59396378 -0.30328558 0.1329804 -1.6172740 > [10,] 0.43505399 0.40640581 0.15245987 -0.4687583 -1.9364985 > [11,] 0.02839190 -1.44795720 0.64407725 -0.9172652 2.7349914 > [12,] -1.21047895 -0.53669838 -0.61328533 0.2055545 -1.7351239 > [13,] -0.53592708 0.22523038 -0.33117481 -0.3691167 -1.4082836 > [14,] 1.81460685 1.30608988 0.91951004 1.9573173 2.5815575 > [15,] 0.07791890 -1.08513335 0.45707930 -0.8393920 0.2013182 1123c1079 < -4.63125 -1.67967 -2.24687 -0.13022 -0.01237 --- > -4.63438 -1.68000 -2.24054 -0.12955 -0.01241 1128c1084 < BFGSR maximization, 71 iterations --- > BFGSR maximization, 10 iterations 1130c1086 < Log-Likelihood: -73.19887 --- > Log-Likelihood: -73.19882 1134,1138c1090,1094 < (Intercept) -4.631254 0.474490 -9.7605 < 2.2e-16 *** < x1 -1.679667 0.209225 -8.0280 9.904e-16 *** < x2 -2.246865 0.673976 -3.3337 0.0008569 *** < logSigmaMu -0.130220 0.258219 -0.5043 0.6140498 < logSigmaNu -0.012367 0.129700 -0.0954 0.9240329 --- > (Intercept) -4.634377 0.474457 -9.7677 < 2.2e-16 *** > x1 -1.680004 0.209222 -8.0298 9.767e-16 *** > x2 -2.240544 0.673889 -3.3248 0.0008848 *** > logSigmaMu -0.129547 0.258070 -0.5020 0.6156791 > logSigmaNu -0.012408 0.129690 -0.0957 0.9237792 1154,1158c1110,1114 < (Intercept) -4.63125 0.47449 -9.760 < 2e-16 *** < x1 -1.67967 0.20922 -8.028 9.9e-16 *** < x2 -2.24687 0.67398 -3.334 0.000857 *** < logSigmaMu -0.13022 0.25822 -0.504 0.614050 < logSigmaNu -0.01237 0.12970 -0.095 0.924033 --- > (Intercept) -4.63438 0.47446 -9.768 < 2e-16 *** > x1 -1.68000 0.20922 -8.030 9.77e-16 *** > x2 -2.24054 0.67389 -3.325 0.000885 *** > logSigmaMu -0.12955 0.25807 -0.502 0.615679 > logSigmaNu -0.01241 0.12969 -0.096 0.923779 1162c1118 < BFGSR maximization, 71 iterations --- > BFGSR maximization, 10 iterations 1164c1120 < Log-likelihood: -73.19887 on 5 Df --- > Log-likelihood: -73.19882 on 5 Df 1168c1124 < -4.63125389 -1.67966663 -2.24686518 -0.13021999 -0.01236749 --- > -4.63437676 -1.68000398 -2.24054396 -0.12954711 -0.01240798 1171c1127 < -4.6312539 -1.6796666 -2.2468652 0.8779023 0.9877087 --- > -4.6343768 -1.6800040 -2.2405440 0.8784932 0.9876687 1174,1178c1130,1134 < (Intercept) 0.225140440 -0.020610334 -0.254710067 0.023925196 0.003049244 < x1 -0.020610334 0.043775047 0.008638319 -0.013424734 -0.002956112 < x2 -0.254710067 0.008638319 0.454243970 -0.017304452 -0.001678952 < logSigmaMu 0.023925196 -0.013424734 -0.017304452 0.066676926 -0.002658588 < logSigmaNu 0.003049244 -0.002956112 -0.001678952 -0.002658588 0.016821963 --- > (Intercept) 0.225109676 -0.020570169 -0.254602918 0.023824169 0.002973956 > x1 -0.020570169 0.043773979 0.008562227 -0.013404084 -0.002969957 > x2 -0.254602918 0.008562227 0.454125958 -0.017179555 -0.001505443 > logSigmaMu 0.023824170 -0.013404084 -0.017179555 0.066600343 -0.002638875 > logSigmaNu 0.002973956 -0.002969957 -0.001505443 -0.002638875 0.016819446 1181,1185c1137,1141 < (Intercept) 0.225140440 -0.020610334 -0.254710067 0.021003984 0.003011765 < x1 -0.020610334 0.043775047 0.008638319 -0.011785605 -0.002919778 < x2 -0.254710067 0.008638319 0.454243970 -0.015191618 -0.001658316 < sigmaMu 0.021003984 -0.011785605 -0.015191618 0.051388734 -0.002305292 < sigmaNu 0.003011765 -0.002919778 -0.001658316 -0.002305292 0.016410976 --- > (Intercept) 0.225109676 -0.020570169 -0.254602918 0.020929371 0.002937284 > x1 -0.020570169 0.043773979 0.008562227 -0.011775397 -0.002933333 > x2 -0.254602918 0.008562227 0.454125958 -0.015092122 -0.001486879 > sigmaMu 0.020929371 -0.011775397 -0.015092122 0.051398836 -0.002289647 > sigmaNu 0.002937284 -0.002933333 -0.001486879 -0.002289647 0.016407191 1187c1143 < 'log Lik.' -73.19887 (df=5) --- > 'log Lik.' -73.19882 (df=5) 1189c1145 < [1] -40.0000 156.3977 --- > [1] -40.0000 156.3976 1192c1148 < [1] -73.19887 --- > [1] -73.19882 1196c1152 < -4.63125389 -1.67966663 -2.24686518 -0.13021999 -0.01236749 --- > -4.63437676 -1.68000398 -2.24054396 -0.12954711 -0.01240798 1200c1156 < 0.0018401905 -0.0061851546 0.0155284697 0.0121946541 -0.0004423344 --- > -1.752053e-07 -6.964484e-07 3.816903e-07 9.595136e-07 -6.239532e-06 1204,1208c1160,1164 < (Intercept) -13.331595 -4.098144 -7.3122557 2.112685 1.3004753 < x1 -4.098144 -26.077012 -1.9904945 -4.485711 -4.7472423 < x2 -7.312256 -1.990495 -6.2384754 0.621981 0.4513276 < logSigmaMu 2.112685 -4.485711 0.6219810 -16.646629 -3.7400274 < logSigmaNu 1.300475 -4.747242 0.4513276 -3.740027 -61.0620928 --- > (Intercept) -13.321986 -4.096607 -7.3075700 2.1079020 1.3088195 > x1 -4.096607 -26.076783 -1.9905303 -4.4849634 -4.7620874 > x2 -7.307570 -1.990530 -6.2362548 0.6238247 0.4803056 > logSigmaMu 2.107902 -4.484963 0.6238247 -16.6581988 -3.7224012 > logSigmaNu 1.308819 -4.762087 0.4803056 -3.7224013 -61.0683295 1224c1180 < [1] 71 --- > [1] 10 1231,1245c1187,1201 < [1,] 0.85349001 -0.22316224 0.07391560 -0.1439727 -0.9648817 < [2,] 1.70617157 -0.04592886 1.19299476 1.6858066 -1.0112351 < [3,] -1.75232766 -0.33599704 -1.72650912 1.8354713 1.7979737 < [4,] -0.15593383 0.20287884 0.43318051 -0.6897679 -1.4281437 < [5,] -0.12949981 -0.98355442 -0.68749680 -0.6766985 -0.5611859 < [6,] -0.33068104 0.30374306 -0.38386671 -0.4926800 -1.5816775 < [7,] 0.08090346 3.18506370 0.23697099 -0.6763076 6.0269802 < [8,] 0.26685231 -0.37853001 -0.05525861 -0.5381035 -1.1097622 < [9,] -1.14938583 -0.59466126 -0.30346139 0.1349502 -1.6156931 < [10,] 0.43565257 0.40544131 0.15311555 -0.4687062 -1.9372868 < [11,] 0.02835118 -1.45016611 0.64501546 -0.9166523 2.7409926 < [12,] -1.21149304 -0.53892605 -0.61209736 0.2065542 -1.7339458 < [13,] -0.53585564 0.22474674 -0.33079151 -0.3697306 -1.4086044 < [14,] 1.81702615 1.31002266 0.92165513 1.9605828 2.5802055 < [15,] 0.07856978 -1.08715547 0.45816198 -0.8385511 0.2058218 --- > [1,] 0.85308347 -0.22558499 0.07261018 -0.1440032 -0.9609406 > [2,] 1.70309377 -0.04839407 1.18987568 1.6807832 -1.0133140 > [3,] -1.75084257 -0.33367521 -1.72755756 1.8353810 1.8043722 > [4,] -0.15577754 0.20240005 0.43224639 -0.6891080 -1.4351384 > [5,] -0.12950028 -0.98433611 -0.68943609 -0.6770203 -0.5543808 > [6,] -0.33035927 0.30928374 -0.38471150 -0.4921375 -1.5793720 > [7,] 0.08212546 3.18521797 0.23724723 -0.6766314 6.0271914 > [8,] 0.26685304 -0.37888545 -0.05565469 -0.5385827 -1.1091112 > [9,] -1.14824187 -0.59396378 -0.30328558 0.1329804 -1.6172740 > [10,] 0.43505399 0.40640581 0.15245987 -0.4687583 -1.9364985 > [11,] 0.02839190 -1.44795720 0.64407725 -0.9172652 2.7349914 > [12,] -1.21047895 -0.53669838 -0.61328533 0.2055545 -1.7351239 > [13,] -0.53592708 0.22523038 -0.33117481 -0.3691167 -1.4082836 > [14,] 1.81460685 1.30608988 0.91951004 1.9573173 2.5815575 > [15,] 0.07791890 -1.08513335 0.45707930 -0.8393920 0.2013182 1298c1254 < -0.231887 1.892815 1.966421 0.001567 0.052617 --- > -0.235535 1.893305 1.972325 0.001777 0.052887 1303c1259 < BFGSR maximization, 98 iterations --- > BFGSR maximization, 16 iterations 1305c1261 < Log-Likelihood: -64.31275 --- > Log-Likelihood: -64.31272 1309,1313c1265,1269 < (Intercept) -0.2318871 0.5480773 -0.4231 0.67223 < x1 1.8928151 0.3009666 6.2891 3.193e-10 *** < x2 1.9664214 0.8183890 2.4028 0.01627 * < logSigmaMu 0.0015674 0.2778031 0.0056 0.99550 < logSigmaNu 0.0526170 0.1629701 0.3229 0.74680 --- > (Intercept) -0.235536 0.548605 -0.4293 0.66768 > x1 1.893306 0.301140 6.2871 3.234e-10 *** > x2 1.972325 0.819113 2.4079 0.01605 * > logSigmaMu 0.001777 0.277794 0.0064 0.99490 > logSigmaNu 0.052887 0.163015 0.3244 0.74561 1329,1333c1285,1289 < (Intercept) -0.231887 0.548077 -0.423 0.6722 < x1 1.892815 0.300967 6.289 3.19e-10 *** < x2 1.966421 0.818389 2.403 0.0163 * < logSigmaMu 0.001567 0.277803 0.006 0.9955 < logSigmaNu 0.052617 0.162970 0.323 0.7468 --- > (Intercept) -0.235535 0.548605 -0.429 0.668 > x1 1.893305 0.301140 6.287 3.23e-10 *** > x2 1.972325 0.819113 2.408 0.016 * > logSigmaMu 0.001777 0.277794 0.006 0.995 > logSigmaNu 0.052887 0.163015 0.324 0.746 1337c1293 < BFGSR maximization, 98 iterations --- > BFGSR maximization, 16 iterations 1339c1295 < Log-likelihood: -64.31275 on 5 Df --- > Log-likelihood: -64.31272 on 5 Df 1353,1357c1309,1313 < (Intercept) -0.2319 0.5481 -0.423 0.672228 < x1 1.8928 0.3010 6.289 3.19e-10 *** < x2 1.9664 0.8184 2.403 0.016270 * < sigmaMu 1.0016 0.2782 3.600 0.000319 *** < sigmaNu 1.0540 0.1718 6.136 8.46e-10 *** --- > (Intercept) -0.2355 0.5486 -0.429 0.667679 > x1 1.8933 0.3011 6.287 3.23e-10 *** > x2 1.9723 0.8191 2.408 0.016046 * > sigmaMu 1.0018 0.2783 3.600 0.000318 *** > sigmaNu 1.0543 0.1719 6.134 8.55e-10 *** 1361c1317 < BFGSR maximization, 98 iterations --- > BFGSR maximization, 16 iterations 1363c1319 < Log-likelihood: -64.31275 on 5 Df --- > Log-likelihood: -64.31272 on 5 Df 1367c1323 < -0.231887140 1.892815136 1.966421391 0.001567383 0.052616954 --- > -0.235535467 1.893305460 1.972325289 0.001776973 0.052886968 1370c1326 < -0.2318871 1.8928151 1.9664214 1.0015686 1.0540258 --- > -0.2355355 1.8933055 1.9723253 1.0017786 1.0543105 1373,1377c1329,1333 < (Intercept) 0.30038878 -0.03126942 -0.36364598 -0.015838137 -0.016309545 < x1 -0.03126942 0.09058090 0.03161946 0.035159765 0.015902411 < x2 -0.36364598 0.03161946 0.66976062 0.018499229 0.024356060 < logSigmaMu -0.01583814 0.03515976 0.01849923 0.077174540 0.004335942 < logSigmaNu -0.01630955 0.01590241 0.02435606 0.004335942 0.026559251 --- > (Intercept) 0.30096775 -0.03150689 -0.36439615 -0.016096679 -0.016446163 > x1 -0.03150689 0.09068516 0.03196988 0.035193435 0.015934669 > x2 -0.36439615 0.03196988 0.67094660 0.018772996 0.024627417 > logSigmaMu -0.01609668 0.03519344 0.01877300 0.077169281 0.004356389 > logSigmaNu -0.01644616 0.01593467 0.02462742 0.004356389 0.026573903 1380,1384c1336,1340 < (Intercept) 0.30038878 -0.03126942 -0.36364598 -0.015862980 -0.017190682 < x1 -0.03126942 0.09058090 0.03161946 0.035214917 0.016761552 < x2 -0.36364598 0.03161946 0.66976062 0.018528247 0.025671916 < sigmaMu -0.01586298 0.03521492 0.01852825 0.077416844 0.004577364 < sigmaNu -0.01719068 0.01676155 0.02567192 0.004577364 0.029506543 --- > (Intercept) 0.30096775 -0.03150689 -0.36439615 -0.016125308 -0.017339362 > x1 -0.03150689 0.09068516 0.03196988 0.035256029 0.016800088 > x2 -0.36439615 0.03196988 0.67094660 0.018806384 0.025964943 > sigmaMu -0.01612531 0.03525603 0.01880638 0.077444024 0.004601155 > sigmaNu -0.01733936 0.01680009 0.02596494 0.004601155 0.029538768 1387,1391c1343,1347 < (Intercept) -0.231887140 0.5480773 -0.423091999 6.722281e-01 < x1 1.892815136 0.3009666 6.289119950 3.192707e-10 < x2 1.966421391 0.8183890 2.402795364 1.627029e-02 < logSigmaMu 0.001567383 0.2778031 0.005642066 9.954983e-01 < logSigmaNu 0.052616954 0.1629701 0.322862638 7.467993e-01 --- > (Intercept) -0.235535467 0.5486053 -0.429335037 6.676794e-01 > x1 1.893305460 0.3011398 6.287131891 3.233846e-10 > x2 1.972325289 0.8191133 2.407878483 1.604552e-02 > logSigmaMu 0.001776973 0.2777936 0.006396737 9.948962e-01 > logSigmaNu 0.052886968 0.1630150 0.324429993 7.456125e-01 1394,1398c1350,1354 < (Intercept) -0.2318871 0.5480773 -0.423092 6.722281e-01 < x1 1.8928151 0.3009666 6.289120 3.192707e-10 < x2 1.9664214 0.8183890 2.402795 1.627029e-02 < sigmaMu 1.0015686 0.2782388 3.599672 3.186184e-04 < sigmaNu 1.0540258 0.1717747 6.136095 8.457448e-10 --- > (Intercept) -0.2355355 0.5486053 -0.429335 6.676794e-01 > x1 1.8933055 0.3011398 6.287132 3.233846e-10 > x2 1.9723253 0.8191133 2.407878 1.604552e-02 > sigmaMu 1.0017786 0.2782877 3.599795 3.184681e-04 > sigmaNu 1.0543105 0.1718685 6.134403 8.547939e-10 1400c1356 < 'log Lik.' -64.31275 (df=5) --- > 'log Lik.' -64.31272 (df=5) 1402c1358 < [1] -40.0000 138.6255 --- > [1] -40.0000 138.6254 1405c1361 < [1] -64.31275 --- > [1] -64.31272 1409c1365 < -0.231887140 1.892815136 1.966421391 0.001567383 0.052616954 --- > -0.235535467 1.893305460 1.972325289 0.001776973 0.052886968 1413c1369 < -0.0040564995 0.0018216477 0.0065103721 -0.0005637585 0.0006580085 --- > 2.487688e-08 -2.871254e-06 1.028026e-06 4.853692e-07 -3.020918e-06 1417,1421c1373,1377 < (Intercept) -9.93165224 -1.4918971 -5.3081996 -0.06777137 -0.3266393 < x1 -1.49189706 -15.1474080 -0.5461774 6.29725166 7.6262074 < x2 -5.30819956 -0.5461774 -4.3925067 0.15221652 1.0706390 < logSigmaMu -0.06777137 6.2972517 0.1522165 -15.79988702 -1.3722827 < logSigmaNu -0.32663927 7.6262074 1.0706390 -1.37228273 -43.1762491 --- > (Intercept) -9.92156107 -1.4895580 -5.3035083 -0.08203739 -0.3186171 > x1 -1.48955800 -15.1354595 -0.5438191 6.29367769 7.6261353 > x2 -5.30350830 -0.5438191 -4.3889375 0.14809035 1.0870164 > logSigmaMu -0.08203739 6.2936777 0.1480904 -15.80452827 -1.3710175 > logSigmaNu -0.31861714 7.6261353 1.0870164 -1.37101753 -43.1836339 1437c1393 < [1] 98 --- > [1] 16 1444,1458c1400,1414 < [1,] -0.85430275 -0.10549661 -0.18114710 -0.02349545 -0.8361257 < [2,] -1.41619774 -0.02551646 -0.97104602 1.45494974 -1.1649405 < [3,] 1.29744227 1.02179065 0.92578737 1.09199915 0.1542169 < [4,] 0.07069633 -0.25156149 -0.39795621 -0.70155579 -1.8290832 < [5,] 0.08899585 0.80817761 0.64837851 -0.69091499 -0.2821707 < [6,] 0.55953731 0.49448967 0.42929232 -0.29113936 -0.3593860 < [7,] -0.12099787 -3.06153503 -0.23683987 -0.70614286 6.3415942 < [8,] -0.21002234 0.33595124 0.08330635 -0.59063726 -1.0295226 < [9,] 1.03400403 0.66095371 0.28826671 0.19597550 -1.2972847 < [10,] -0.42827040 -0.58565903 -0.11724221 -0.39566522 -1.8006758 < [11,] -0.04072462 1.09462306 -0.50803807 -0.86660373 2.0004945 < [12,] 1.14025492 0.50482518 0.83275745 0.58516733 -0.7444233 < [13,] 0.53435892 -0.28155803 0.34776910 -0.28681404 -1.4338283 < [14,] -1.63779956 -1.34630656 -0.83758810 2.11886112 2.7641743 < [15,] -0.02103084 0.73864373 -0.29918987 -0.89454791 -0.4823811 --- > [1,] -0.85345502 -0.10600202 -0.1814284 -0.02424029 -0.8381663 > [2,] -1.41652306 -0.02739585 -0.9720425 1.45685325 -1.1643003 > [3,] 1.29710955 1.02071645 0.9249772 1.09192822 0.1536204 > [4,] 0.07071079 -0.25221748 -0.3986639 -0.70161956 -1.8243307 > [5,] 0.08940243 0.80718484 0.6470466 -0.69053380 -0.2869973 > [6,] 0.55895982 0.49540605 0.4285452 -0.29156512 -0.3618361 > [7,] -0.11968838 -3.06103611 -0.2365183 -0.70670422 6.3435264 > [8,] -0.20931458 0.33524154 0.0832306 -0.59070813 -1.0295423 > [9,] 1.03431545 0.66026310 0.2882436 0.19767251 -1.2965692 > [10,] -0.42765160 -0.58469153 -0.1171546 -0.39622543 -1.8014625 > [11,] -0.04032187 1.09571343 -0.5082752 -0.86763297 2.0031266 > [12,] 1.14007145 0.50584814 0.8314616 0.58515264 -0.7454354 > [13,] 0.53481223 -0.28157458 0.3477457 -0.28643956 -1.4343028 > [14,] -1.63752640 -1.34696463 -0.8377496 2.11919025 2.7628210 > [15,] -0.02090079 0.73950577 -0.2994167 -0.89512731 -0.4801545 1511,1518c1467 < [1] "Component 1: Mean relative difference: 1.392167e-07" < [2] "Component 2: Mean relative difference: 0.0002899128" < [3] "Component 3: Mean relative difference: 0.4472709" < [4] "Component 4: Mean relative difference: 0.0006279708" < [5] "Component 5: Mean relative difference: 0.5" < [6] "Component 6: 1 string mismatch" < [7] "Component 7: target is NULL, current is list" < [8] "Component 9: Mean relative difference: 0.04" --- > [1] TRUE 1520c1469 < [1] "Mean relative difference: 0.0004972928" --- > [1] TRUE 1534c1483 < -0.221504 1.640478 2.106416 -0.167685 -0.001723 --- > -0.225080 1.640577 2.112079 -0.167313 -0.001134 1539,1543c1488,1490 < BFGSR maximization, 82 iterations < Return code 3: Last step could not find a value above the current. < Boundary of parameter space? < Consider switching to a more robust optimisation method temporarily. < Log-Likelihood: -71.1926 --- > BFGSR maximization, 10 iterations > Return code 2: successive function values within tolerance limit > Log-Likelihood: -71.19256 1547,1551c1494,1498 < (Intercept) -0.2215036 0.4722446 -0.4690 0.639038 < x1 1.6404782 0.2109390 7.7770 7.425e-15 *** < x2 2.1064157 0.6844507 3.0775 0.002087 ** < logSigmaMu -0.1676847 0.2714620 -0.6177 0.536767 < logSigmaNu -0.0017233 0.1322103 -0.0130 0.989600 --- > (Intercept) -0.2250795 0.4726959 -0.4762 0.633959 > x1 1.6405767 0.2110697 7.7727 7.685e-15 *** > x2 2.1120788 0.6849330 3.0836 0.002045 ** > logSigmaMu -0.1673126 0.2714583 -0.6163 0.537665 > logSigmaNu -0.0011337 0.1322715 -0.0086 0.993162 1566,1570c1513,1517 < (Intercept) -0.221504 0.472245 -0.469 0.63904 < x1 1.640478 0.210939 7.777 7.42e-15 *** < x2 2.106416 0.684451 3.078 0.00209 ** < logSigmaMu -0.167685 0.271462 -0.618 0.53677 < logSigmaNu -0.001723 0.132210 -0.013 0.98960 --- > (Intercept) -0.225080 0.472696 -0.476 0.63396 > x1 1.640577 0.211070 7.773 7.68e-15 *** > x2 2.112079 0.684933 3.084 0.00204 ** > logSigmaMu -0.167313 0.271458 -0.616 0.53767 > logSigmaNu -0.001134 0.132271 -0.009 0.99316 1574,1578c1521,1523 < BFGSR maximization, 82 iterations < Return code 3: Last step could not find a value above the current. < Boundary of parameter space? < Consider switching to a more robust optimisation method temporarily. < Log-likelihood: -71.1926 on 5 Df --- > BFGSR maximization, 10 iterations > Return code 2: successive function values within tolerance limit > Log-likelihood: -71.19256 on 5 Df 1581c1526 < 'log Lik.' -71.1926 (df=5) --- > 'log Lik.' -71.19256 (df=5) 1583c1528 < [1] -36.0000 152.3852 --- > [1] -36.0000 152.3851 1586c1531 < [1] -71.1926 --- > [1] -71.19256 1590c1535 < -0.221503579 1.640478163 2.106415667 -0.167684694 -0.001723309 --- > -0.225079532 1.640576704 2.112078831 -0.167312618 -0.001133654 1594c1539 < -0.004701528 -0.005486644 0.009442770 0.004176238 0.034741348 --- > -8.636040e-06 -1.453204e-05 -7.787637e-06 1.016841e-05 -1.994848e-05 1598,1602c1543,1547 < (Intercept) -13.803811 -4.351911 -7.5356272 -1.1063982 -1.943163 < x1 -4.351911 -25.840157 -2.0603197 4.6556355 4.062203 < x2 -7.535627 -2.060320 -6.2724821 -0.1426217 -1.068580 < logSigmaMu -1.106398 4.655635 -0.1426217 -14.9330751 -3.783043 < logSigmaNu -1.943163 4.062203 -1.0685804 -3.7830428 -58.893762 --- > (Intercept) -13.784888 -4.345494 -7.5260689 -1.1169013 -1.938671 > x1 -4.345494 -25.808843 -2.0565428 4.6495651 4.051833 > x2 -7.526069 -2.056543 -6.2649095 -0.1454329 -1.045995 > logSigmaMu -1.116901 4.649565 -0.1454329 -14.9357030 -3.771780 > logSigmaNu -1.938671 4.051833 -1.0459950 -3.7717801 -58.831584 1605c1550 < [1] 3 --- > [1] 2 1608c1553 < [1] "Last step could not find a value above the current.\nBoundary of parameter space? \nConsider switching to a more robust optimisation method temporarily." --- > [1] "successive function values within tolerance limit" 1611,1637c1556 < $last.step$theta0 < (Intercept) x1 x2 logSigmaMu logSigmaNu < -0.2216331926 1.6400015912 2.1063945905 -0.1675049974 -0.0009593197 < < $last.step$f0 < [1] -71.1926 < attr(,"gradient") < [,1] [,2] [,3] [,4] [,5] < [1,] -0.50816515 0.090217561 0.10410081 -0.39445402 -0.5298645 < [2,] -1.81667064 0.068033771 -1.24659128 1.79706023 -0.9614338 < [3,] 1.78486795 0.486504498 1.77013088 1.73355439 1.8965766 < [4,] 0.15213901 -0.162247299 -0.39536645 -0.73668602 -1.5883261 < [5,] 0.08162917 1.039536881 0.69841608 -0.67801712 -0.4447635 < [6,] 0.33313724 -0.231178078 0.37406507 -0.53924581 -1.5741006 < [7,] -0.18105217 -3.027596011 -0.24851952 -0.62197370 5.4748232 < [8,] 0.01868460 -0.004072773 0.01068638 -0.41759074 -0.5818107 < [9,] 1.11549010 0.667315369 0.29562868 0.06298647 -1.6858532 < [10,] -0.53775532 -0.419748064 -0.20420046 -0.40659045 -1.9748427 < [11,] -0.08319079 1.378060908 -0.64743289 -0.82299338 2.4933688 < [12,] 1.25910369 0.531580469 0.67001091 0.23126230 -1.7942885 < [13,] 0.44637231 -0.163066797 0.28626583 -0.46855785 -1.4508360 < [14,] -1.89205137 -1.284434045 -0.96146829 1.98123550 2.6813418 < [15,] -0.17490677 1.042450674 -0.49503676 -0.72345241 0.0274536 < < $last.step$climb < [1] -2226742.2 -8187441.5 -362091.9 3087168.0 13125227.4 < --- > NULL 1644c1563 < [1] 82 --- > [1] 10 1651,1665c1570,1584 < [1,] -0.50916697 0.089467297 0.10396139 -0.39396519 -0.52856167 < [2,] -1.81779624 0.067264120 -1.24763527 1.79919455 -0.96173205 < [3,] 1.78612200 0.483996295 1.77183924 1.73592599 1.90172350 < [4,] 0.15166655 -0.162713396 -0.39645960 -0.73709068 -1.58539527 < [5,] 0.08178771 1.039601706 0.69926247 -0.67826580 -0.44303811 < [6,] 0.33243096 -0.234054119 0.37420181 -0.53961689 -1.57108357 < [7,] -0.18109427 -3.033457315 -0.24892068 -0.62227382 5.48933744 < [8,] 0.01868189 -0.004072183 0.01068483 -0.41787751 -0.58152474 < [9,] 1.11642583 0.666908798 0.29590302 0.06340789 -1.68539999 < [10,] -0.53846732 -0.421466583 -0.20444272 -0.40601409 -1.97323737 < [11,] -0.08314516 1.379347939 -0.64800411 -0.82340923 2.49943165 < [12,] 1.25940618 0.531715658 0.67017852 0.23092289 -1.79277282 < [13,] 0.44696226 -0.163864031 0.28666143 -0.46801997 -1.44927850 < [14,] -1.89384253 -1.287753736 -0.96243888 1.98495037 2.68646783 < [15,] -0.17467242 1.043592907 -0.49534868 -0.72369227 0.02980504 --- > [1,] -0.50840052 0.087714316 0.10287525 -0.39431964 -0.53426583 > [2,] -1.81732267 0.065815016 -1.24804243 1.79967366 -0.96091655 > [3,] 1.78433755 0.484533165 1.76843009 1.73329056 1.89069332 > [4,] 0.15176201 -0.163179756 -0.39680494 -0.73698273 -1.58181515 > [5,] 0.08189442 1.038061250 0.69691610 -0.67803233 -0.45084034 > [6,] 0.33234643 -0.230428212 0.37329832 -0.53971463 -1.57493250 > [7,] -0.17917946 -3.030324203 -0.24829015 -0.62279217 5.48422908 > [8,] 0.01887239 -0.004113708 0.01079379 -0.41776542 -0.58162397 > [9,] 1.11662282 0.666294925 0.29584825 0.06450853 -1.68416734 > [10,] -0.53726364 -0.419646234 -0.20413611 -0.40687228 -1.97452123 > [11,] -0.08242475 1.380218291 -0.64791274 -0.82394685 2.50003236 > [12,] 1.25880532 0.532782587 0.66844750 0.23053623 -1.79300733 > [13,] 0.44705025 -0.163466537 0.28638877 -0.46787239 -1.45058887 > [14,] -1.89296358 -1.288373430 -0.96260700 1.98453208 2.67979864 > [15,] -0.17414520 1.044098000 -0.49521247 -0.72423245 0.03190577 Running 'censRegTest.R' Comparing 'censRegTest.Rout' to 'censRegTest.Rout.save' ...5,11d4 < < Attaching package: 'zoo' < < The following object(s) are masked from 'package:base': < < as.Date, as.Date.numeric < 32c25 < -3.574573e-12 -1.098129e-10 -2.476424e-11 -1.184912e-11 -1.435945e-11 --- > -3.657695e-12 -1.123246e-10 -2.533772e-11 -1.212106e-11 -1.469341e-11 34c27 < -1.528774e-11 -3.528851e-12 --- > -1.563155e-11 -3.594555e-12 1426,1432c1419,1425 < (Intercept) 7.515523731 -0.1196798502 0.089357154 -3.970038e-01 < age -0.119679850 0.0062557406 -0.008052616 5.380018e-04 < yearsmarried 0.089357154 -0.0080526163 0.018095076 -1.006372e-02 < religiousness -0.397003788 0.0005380018 -0.010063723 1.630153e-01 < occupation -0.176564351 -0.0039320119 0.003581751 5.214883e-03 < rating -0.616442291 0.0011114966 0.004771647 -2.571294e-05 < logSigma 0.006968089 -0.0005561255 0.001594861 -4.944751e-03 --- > (Intercept) 7.515523726 -0.1196798500 0.089357154 -0.3970037882 > age -0.119679851 0.0062557406 -0.008052616 0.0005380018 > yearsmarried 0.089357155 -0.0080526163 0.018095076 -0.0100637229 > religiousness -0.397003788 0.0005380018 -0.010063723 0.1630153147 > occupation -0.176564351 -0.0039320119 0.003581751 0.0052148835 > rating -0.616442289 0.0011114965 0.004771647 -0.0000257130 > logSigma 0.006968089 -0.0005561255 0.001594861 -0.0049447513 1434,1440c1427,1433 < (Intercept) -0.176564351 -6.164423e-01 0.0069680895 < age -0.003932012 1.111497e-03 -0.0005561255 < yearsmarried 0.003581751 4.771647e-03 0.0015948607 < religiousness 0.005214883 -2.571294e-05 -0.0049447513 < occupation 0.064731952 -6.192755e-03 0.0008925920 < rating -0.006192755 1.663236e-01 -0.0068779111 < logSigma 0.000892592 -6.877911e-03 0.0045021647 --- > (Intercept) -0.176564351 -0.616442290 0.0069680895 > age -0.003932012 0.001111497 -0.0005561255 > yearsmarried 0.003581751 0.004771647 0.0015948607 > religiousness 0.005214883 -0.000025713 -0.0049447513 > occupation 0.064731952 -0.006192755 0.0008925920 > rating -0.006192755 0.166323611 -0.0068779111 > logSigma 0.000892592 -0.006877911 0.0045021647 1443,1449c1436,1442 < (Intercept) 7.51552373 -0.1196798502 0.089357154 -3.970038e-01 -0.176564351 < age -0.11967985 0.0062557406 -0.008052616 5.380018e-04 -0.003932012 < yearsmarried 0.08935715 -0.0080526163 0.018095076 -1.006372e-02 0.003581751 < religiousness -0.39700379 0.0005380018 -0.010063723 1.630153e-01 0.005214883 < occupation -0.17656435 -0.0039320119 0.003581751 5.214883e-03 0.064731952 < rating -0.61644229 0.0011114966 0.004771647 -2.571294e-05 -0.006192755 < sigma 0.05746639 -0.0045864114 0.013152944 -4.077976e-02 0.007361278 --- > (Intercept) 7.51552373 -0.1196798500 0.089357154 -0.3970037882 -0.176564351 > age -0.11967985 0.0062557406 -0.008052616 0.0005380018 -0.003932012 > yearsmarried 0.08935716 -0.0080526163 0.018095076 -0.0100637229 0.003581751 > religiousness -0.39700379 0.0005380018 -0.010063723 0.1630153147 0.005214883 > occupation -0.17656435 -0.0039320119 0.003581751 0.0052148835 0.064731952 > rating -0.61644229 0.0011114965 0.004771647 -0.0000257130 -0.006192755 > sigma 0.05746639 -0.0045864114 0.013152944 -0.0407797608 0.007361278 1451,1457c1444,1450 < (Intercept) -6.164423e-01 0.057466394 < age 1.111497e-03 -0.004586411 < yearsmarried 4.771647e-03 0.013152944 < religiousness -2.571294e-05 -0.040779761 < occupation -6.192755e-03 0.007361278 < rating 1.663236e-01 -0.056722685 < sigma -5.672269e-02 0.306211731 --- > (Intercept) -0.616442290 0.057466394 > age 0.001111497 -0.004586411 > yearsmarried 0.004771647 0.013152944 > religiousness -0.000025713 -0.040779761 > occupation -0.006192755 0.007361278 > rating 0.166323611 -0.056722685 > sigma -0.056722685 0.306211731 1462c1455 < yearsmarried 0.5541418 0.13451794 4.119464 3.797546e-05 --- > yearsmarried 0.5541418 0.13451794 4.119464 3.797547e-05 1471c1464 < 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-2.054357513 0.0051521255 -0.031726619 2.012084347 < occupation -0.165733086 -0.0055618511 0.005476193 -0.014147818 --- > religiousness2 -2.228874405 0.0018387298 -0.002246006 2.717034630 > religiousness3 -2.369516916 0.0082101180 -0.018369401 1.983765408 > religiousness4 -2.054357515 0.0051521255 -0.031726619 2.012084347 > occupation -0.165733085 -0.0055618511 0.005476193 -0.014147818 16742,16743c16735,16736 < (Intercept) -2.369516918 -2.054357513 -0.165733086 -0.778817548 < age 0.008210118 0.005152126 -0.005561851 0.000968500 --- > (Intercept) -2.369516917 -2.054357512 -0.165733086 -0.778817548 > age 0.008210118 0.005152125 -0.005561851 0.000968500 16746,16748c16739,16741 < religiousness3 2.806615755 2.018692631 0.008755970 0.083654323 < religiousness4 2.018692631 2.881171086 0.015197688 0.065493292 < occupation 0.008755970 0.015197688 0.074407484 -0.007412933 --- > religiousness3 2.806615756 2.018692631 0.008755970 0.083654323 > religiousness4 2.018692632 2.881171086 0.015197689 0.065493293 > occupation 0.008755970 0.015197689 0.074407484 -0.007412933 16752c16745 < (Intercept) 0.0059106331 --- > (Intercept) 0.0059106330 16759c16752 < rating -0.0078827547 --- > rating -0.0078827546 17384,17390c17377,17383 < (Intercept) 5169.407432 -78.2461086 47.647323 -1183.5323095 < age -78.246109 4.0748069 -5.106021 0.9763656 < yearsmarried 47.647323 -5.1060209 11.018111 -1.1926291 < religiousness2 -1183.532309 0.9763656 -1.192629 1442.7453886 < religiousness3 -1258.213484 4.3595727 -9.754152 1053.3794320 < religiousness4 -1090.863839 2.7357786 -16.846835 1068.4167881 < occupation -88.004269 -2.9533429 2.907858 -7.5124916 --- > (Intercept) 5169.407429 -78.2461085 47.647323 -1183.5323085 > age -78.246109 4.0748069 -5.106021 0.9763655 > yearsmarried 47.647323 -5.1060209 11.018111 -1.1926290 > religiousness2 -1183.532309 0.9763656 -1.192629 1442.7453885 > religiousness3 -1258.213483 4.3595727 -9.754152 1053.3794319 > religiousness4 -1090.863840 2.7357786 -16.846835 1068.4167883 > occupation -88.004268 -2.9533429 2.907858 -7.5124916 17394c17387 < (Intercept) -1258.213484 -1090.863839 -88.0042687 -413.5521182 --- > (Intercept) -1258.213483 -1090.863839 -88.0042689 -413.5521181 17397,17399c17390,17392 < religiousness2 1053.379432 1068.416788 -7.5124916 53.0034471 < religiousness3 1490.312966 1071.925787 4.6494202 44.4204456 < religiousness4 1071.925787 1529.901846 8.0699726 34.7769382 --- > religiousness2 1053.379432 1068.416788 -7.5124915 53.0034471 > religiousness3 1490.312967 1071.925787 4.6494203 44.4204456 > religiousness4 1071.925788 1529.901847 8.0699727 34.7769384 17404c17397 < (Intercept) 3.1385462 --- > (Intercept) 3.1385461 17415,17422c17408,17415 < (Intercept) 10.31538093 -0.200651746 0.1686842103 -1.1319277056 < age -0.20065175 0.009401332 -0.0116862348 -0.0126882101 < yearsmarried 0.16868421 -0.011686235 0.0222169680 0.0020910170 < religiousness2 -1.13192771 -0.012688210 0.0020910170 2.3677473926 < religiousness3 -1.67391451 0.009680116 -0.0335847979 1.5816089426 < religiousness4 -1.63520650 0.020356050 -0.0571329534 1.5834255175 < occupation -0.21663045 -0.004766186 0.0071748020 -0.0149992600 < rating -0.70525290 0.001990725 0.0047558306 0.0059794243 --- > (Intercept) 10.31538091 -0.200651746 0.1686842098 -1.1319277032 > age -0.20065175 0.009401332 -0.0116862348 -0.0126882103 > yearsmarried 0.16868421 -0.011686235 0.0222169680 0.0020910173 > religiousness2 -1.13192770 -0.012688210 0.0020910172 2.3677473926 > religiousness3 -1.67391450 0.009680115 -0.0335847977 1.5816089424 > religiousness4 -1.63520650 0.020356050 -0.0571329533 1.5834255177 > occupation -0.21663045 -0.004766186 0.0071748021 -0.0149992596 > rating -0.70525289 0.001990725 0.0047558306 0.0059794244 17425,17426c17418,17419 < (Intercept) -1.673914505 -1.635206498 -0.2166304550 -0.7052528957 < age 0.009680116 0.020356050 -0.0047661857 0.0019907250 --- > (Intercept) -1.673914502 -1.635206496 -0.2166304556 -0.7052528955 > age 0.009680115 0.020356049 -0.0047661857 0.0019907250 17428,17431c17421,17424 < religiousness2 1.581608943 1.583425517 -0.0149992600 0.0059794243 < religiousness3 2.344052054 1.676859201 0.0085145592 0.0042720441 < religiousness4 1.676859201 2.490749124 -0.0079195869 -0.0274176772 < occupation 0.008514559 -0.007919587 0.0698641099 0.0025917524 --- > religiousness2 1.581608944 1.583425517 -0.0149992598 0.0059794242 > religiousness3 2.344052055 1.676859201 0.0085145595 0.0042720441 > religiousness4 1.676859203 2.490749124 -0.0079195865 -0.0274176767 > occupation 0.008514559 -0.007919587 0.0698641099 0.0025917522 17435c17428 < (Intercept) -0.0520571904 --- > (Intercept) -0.0520571905 17438c17431 < religiousness2 0.0007548114 --- > religiousness2 0.0007548113 * checking for unstated dependencies in vignettes ... OK * checking package vignettes in 'inst/doc' ... OK * checking running R code from vignettes ... OK * checking re-building of vignettes ... OK * checking PDF version of manual ... OK