17716a134f3c3193fd545cfdaa61d4ba *DESCRIPTION
54c7983c2bf791ca1b7b5b2147160b94 *NAMESPACE
9360ada7f58a048a53b0dd90f9a5a1d5 *R/AllClass.R
9c23e53d9a44511367bd920de7304079 *R/AllGeneric.R
9cc365ecc78431476fd1489c449359cf *R/DAS-scale.R
27d13ee0b66b0963a5c81c13f574cecc *R/accessors.R
fb5ddf86d13ecd5a5d54c203e2055587 *R/asymptoticEfficiency.R
7b99e0709ce33cd1d549500e3c06a782 *R/emmeans.R
5c4beaf1627ef522a5965e4f39ffeb69 *R/fit.effects.R
c3ef18ac36fec3a8e74949290bb68033 *R/fitDatasets.R
be47a46391fd08915374002a8cad9c56 *R/fromLme4.R
4577494ff6f016c23e397c7cbebacfd0 *R/generateAnovaDatasets.R
773e86d6d33924bc320c90f7619b43dc *R/generateMixedEffectDatasets.R
b2632e049db016512e94e94fdaa3d6a6 *R/generateSensitivityCurveDatasets.R
d4283e34cc78af1e95f185b100fd1b15 *R/ghq.R
e6d0a1df688485c0c76e271b37eab35e *R/helpers.R
f2f6dfb15ec4c97f9a782f2d96e0c8f1 *R/lmer.R
0c7e21eaf41d98627b74400951330fc2 *R/manageDatasets.R
7e4c3e4277e203b3a792cb1bef818b0f *R/mutators.R
21e9beb4dc7b28b8ade1f49e7b97f74e *R/plot.R
99a0e4332cc32954f54e16a898045e4b *R/processFile.R
67bd1497e17ed99e075934f18b15268b *R/processFit.R
d5b11cba6860e30b2b7cdd248e5696f3 *R/psiFunc2.R
c14cf358b3bd7c6d92e70d0b135968d0 *R/rlmer.R
72fc3042f7bf7c06cccdd5d3234fab22 *R/simulationStudies.R
0f36af014af7e656bf69be150c3b818e *README.md
1a972f53e7161f14256c9b59d1b45ba2 *build/vignette.rds
e21514a5d035305feb87d0c632a2fd0c *inst/CITATION
c998a71068aa5c8557b380d4fd41a918 *inst/doc/Penicillin.R
9e886c21e762bea7b5588712c241b544 *inst/doc/ggplot.theme.R
426c20b3fadfee5f14b9b39ee57f685d *inst/doc/plots.R
8cd357cab2d5ba299addc361f9f0c748 *inst/doc/rlmer.R
34af96c5afa16d6def1dd03b86760bef *inst/doc/rlmer.Rnw
3987842fd1b30e663338ca8c65c3d71a *inst/doc/rlmer.pdf
da8ecd990f3981e5c0ccc6fb725b5e8b *inst/doc/simulationStudies.R
b2d3529920c74d0813d7183ffaecd571 *inst/doc/simulationStudies.Rnw
137118c66b726fd935822d5f9cb92f0d *inst/doc/simulationStudies.pdf
2248943be35ee75dee6372f97021fb45 *inst/doc/sleepstudy.R
0d418208fdaebf63af69141d3abc3fc4 *inst/simulationStudy/breakdown.R
7ec965d6fc983ed317bc0788d4385521 *inst/simulationStudy/consistencyAndEfficiencyBlockDiagonal.R
7bb19520c94d4f1743d0007e7a13836a *inst/simulationStudy/consistencyAndEfficiencyDiagonal.R
8e17575e72e5b95bfabcb829f522b12f *inst/simulationStudy/convergence.R
57d1f5aaeb872185867d1f1ee5a539a6 *inst/simulationStudy/datasets_breakdown-processed.Rdata
91d4e910df153a069b866a713bcd6a16 *inst/simulationStudy/datasets_consistencyAndEfficiencyBlockDiagonal-aggregated.Rdata
36db00c6540eb9b8cd68f1fb013ce315 *inst/simulationStudy/datasets_consistencyAndEfficiencyBlockDiagonal-minimal.Rdata
d2b90df3d198aec6a268c2c14852bc36 *inst/simulationStudy/datasets_consistencyAndEfficiencyDiagonal-aggregated.Rdata
0b8d700d30e8701d6a86bef5248e54c9 *inst/simulationStudy/datasets_consistencyAndEfficiencyDiagonal-minimal.Rdata
f31cf390b30654a5fec9024ded9ce0d5 *inst/simulationStudy/datasets_convergence-aggregated.Rdata
1928ce0880dee8596ce7fb5fa2be66b6 *inst/simulationStudy/datasets_convergence_10_10_NN-minimal.Rdata
bdc24c46fd59b4f477566dbabdb64ac1 *inst/simulationStudy/datasets_convergence_10_10_t3t3-minimal.Rdata
861b527c5559db218c347c4dbb0ed14e *inst/simulationStudy/datasets_convergence_10_20_NN-minimal.Rdata
8d48ce0af53dd373bb480570adb2af15 *inst/simulationStudy/datasets_convergence_10_20_t3t3-minimal.Rdata
323cf12aef714cc4c9cacad5bf1ebb98 *inst/simulationStudy/datasets_convergence_10_50_NN-minimal.Rdata
e200db67e29d4808a4116c941ea8b617 *inst/simulationStudy/datasets_convergence_10_50_t3t3-minimal.Rdata
d3a52f477ae355d9fb74d932318d0c27 *inst/simulationStudy/datasets_convergence_10_5_NN-minimal.Rdata
c5cf0c52e27e7a8925de35c7bdc39263 *inst/simulationStudy/datasets_convergence_10_5_t3t3-minimal.Rdata
7064c5931660fbef57cc77ac73e6e28f *inst/simulationStudy/datasets_convergence_20_10_NN-minimal.Rdata
f70dd3c3a70d1fffdbda82cd75c6e83c *inst/simulationStudy/datasets_convergence_20_10_t3t3-minimal.Rdata
e371ba40ce6c971ba57fe0938a9125f6 *inst/simulationStudy/datasets_convergence_20_20_NN-minimal.Rdata
5b6ba1bc35fc09b1e18f85911d3c3817 *inst/simulationStudy/datasets_convergence_20_20_t3t3-minimal.Rdata
9647ef2fc911a92ceeba35656a3d9f9c *inst/simulationStudy/datasets_convergence_20_50_NN-minimal.Rdata
a05c19d3e9a6aec05a94992fdd5c22b8 *inst/simulationStudy/datasets_convergence_20_50_t3t3-minimal.Rdata
6fa2626b229aa3c976d86280c689727e *inst/simulationStudy/datasets_convergence_20_5_NN-minimal.Rdata
66e5b4954f8824d6f95860b1401e8bff *inst/simulationStudy/datasets_convergence_20_5_t3t3-minimal.Rdata
a98bf516075d15b6bb73e539d8679559 *inst/simulationStudy/datasets_convergence_50_10_NN-minimal.Rdata
e5478d4a50a5c39130497871ee7e267f *inst/simulationStudy/datasets_convergence_50_10_t3t3-minimal.Rdata
e02a293a1ed0b0d3b369db5af409b342 *inst/simulationStudy/datasets_convergence_50_20_NN-minimal.Rdata
ce74e62c3c2908d8b2e62cf1cba6f407 *inst/simulationStudy/datasets_convergence_50_20_t3t3-minimal.Rdata
31b3beb1cca6b7a936c97809a71b7ef7 *inst/simulationStudy/datasets_convergence_50_50_NN-minimal.Rdata
9e3a9e119b053cbab2517cf4310ce1e3 *inst/simulationStudy/datasets_convergence_50_50_t3t3-minimal.Rdata
f60c814199f975e87ab8b4fe86b9da56 *inst/simulationStudy/datasets_convergence_50_5_NN-minimal.Rdata
c9fa4fee4036742ad086b4bcedb861ee *inst/simulationStudy/datasets_convergence_50_5_t3t3-minimal.Rdata
efd69644ae1b752ce17c3bf065b21f26 *inst/simulationStudy/datasets_convergence_5_10_NN-minimal.Rdata
78e7f8154b68a9cd93abe81cc633445c *inst/simulationStudy/datasets_convergence_5_10_t3t3-minimal.Rdata
e783a370ee5bf0882648613282c2de95 *inst/simulationStudy/datasets_convergence_5_20_NN-minimal.Rdata
6808af518541d66122ac8c372bd114fc *inst/simulationStudy/datasets_convergence_5_20_t3t3-minimal.Rdata
c397b39d1459917e78dc84e68e8dba46 *inst/simulationStudy/datasets_convergence_5_50_NN-minimal.Rdata
871a29fd9aa0950c468a4f2cec409711 *inst/simulationStudy/datasets_convergence_5_50_t3t3-minimal.Rdata
dec83358783695192260a95dc158d22e *inst/simulationStudy/datasets_convergence_5_5_NN-minimal.Rdata
b86821a6c889bac55d5603637fadfe51 *inst/simulationStudy/datasets_convergence_5_5_t3t3-minimal.Rdata
edd00a5bea92433a23a02ffa39b4b140 *inst/simulationStudy/datasets_robustnessBlockDiagonal-aggregated.Rdata
19bdba82d2f10221bed4333c271e3972 *inst/simulationStudy/datasets_robustnessBlockDiagonal-minimal.Rdata
ea998c1ce959133fafdc9fcf1907671f *inst/simulationStudy/datasets_robustnessDiagonal-aggregated.Rdata
6fe4be7f177159503e9514e28cbf85e0 *inst/simulationStudy/datasets_robustnessDiagonal-minimal.Rdata
ce7ba75639a8e6895e6b19aaf0c0f613 *inst/simulationStudy/datasets_scaleFirstGroup-processed.Rdata
d1b824b34c588f71b354d1405821da95 *inst/simulationStudy/datasets_shiftFirstGroup-processed.Rdata
5cd58776d487efcc3203cf26001b514f *inst/simulationStudy/datasets_shiftFirstObservation-processed.Rdata
2345c49375bfa334b232abd160e52c5b *inst/simulationStudy/randomNumberGenerators.R
f5d377d93a8aaf7c232c7c8deec36b36 *inst/simulationStudy/robustnessBlockDiagonal.R
ed421b94f184630a15431aa7ffc60218 *inst/simulationStudy/robustnessDiagonal.R
d1c90191a8e631adcc756a90cf4c8bb4 *inst/simulationStudy/sensitivityCurves.R
afec1915a91c96daa4c93a5d77ca8691 *man/asymptoticEfficiency.Rd
b567003321155743afbbcbb13ffd6766 *man/bindDatasets.Rd
4f4da29decb71165b00fd6e84a002c53 *man/chgDefaults.Rd
dca2839bfedb716c68e886e81e15adb8 *man/compare.Rd
e675e80c18ad38808620df0095a55937 *man/createDatasetsFromList.Rd
b9be2b96023884011057c18c25e2da42 *man/createRhoFunction.Rd
21a0ec409d5bc7228d86035c93c84d50 *man/extractTuningParameter.Rd
fccbb20c94ad45ca925f5aa399776c9c *man/fitDatasets.Rd
5cdf49746c085b859059483093665b19 *man/generateAnovaDatasets.Rd
99b42382ebe524e070f4d7bd0beeae86 *man/generateMixedEffectDatasets.Rd
41cf23080702124cfcc179390da5903b *man/generateSensitivityCurveDatasets.Rd
f0116fb0aa05eccedf88f395dd2e2d1b *man/getME.Rd
d7e052a09074e4c92a9cfabf58ed757b *man/lapplyDatasets.Rd
430cb1b03e5e61df61aed8ffc337fd39 *man/loadAndMergePartialResults.Rd
b240b5891721154625ca293571f35464 *man/mergeProcessedFits.Rd
010341377dd99806be6383069c8f28ce *man/other.Rd
b7185b4cd82b88821ff00b49c40e3c63 *man/partialMoment_standardNormal.Rd
af126d76a320faa583d8b2b06e2228f4 *man/plot-methods.Rd
b8d570fa0daab5ddbe3e6a155cd61bd5 *man/plot.rlmerMod.Rd
2ab9991398e41a84b1a2181bd851a7e6 *man/prepareMixedEffectDataset.Rd
74a4134c13bd9195d6adf843b6d8dc76 *man/processDatasetsInParallel.Rd
c670e60b7266b2839da631c046324da1 *man/processFile.Rd
5475a9c3a7713487882c15f8aadeefff *man/processFit.Rd
d011a6c1c7f5345e6c06dfd47583b8bd *man/psi-functions.Rd
b884548d0b7a194468202eac83f3f94a *man/psi2propII.Rd
f69f0a8c3b444d7e2b26111b288d82ba *man/residuals.rlmerMod.Rd
7e7338c73332301e63685a41fb302404 *man/rlmer.Rd
5c19517eea04fcb8724d5bf1662ffc7f *man/rlmerMod-class.Rd
f7a347ebad37e757fd8326873a4af343 *man/robustlmm-package.Rd
36e1a314c9804966b9b5dcf471fa03ca *man/saveDatasets.Rd
aa68b9ac7896fb379aa7dcdeae6e692e *man/shortenLabelsKS2022.Rd
70d04d90e060f9d8ba113a3b1053f721 *man/splitDatasets.Rd
f2dc62fbab977dc9a52e91d59234da44 *man/viewCopyOfSimulationStudy.Rd
bae27aefdf04b213261c95cb05dcafe4 *src/Integration.cpp
18472c2fb01b39a33d53bec049b83302 *src/Integration.h
b4fa667b9cdfd29bbe921c1881e665ae *src/Makevars
b4fa667b9cdfd29bbe921c1881e665ae *src/Makevars.win
277c13a647013f2df5ff973435237f4e *src/PsiFunction.cpp
d41a8e3edbc4ff25f4067d146c9d5460 *src/PsiFunction.h
52304abbf6503ef6c98f4bcc5af214ab *src/globals.h
6b48aaf9349055303b31f2225197eb07 *src/local_stubs.c
115efebc79254cee761bd350d3cf5c1e *src/misc.cpp
be548b6825637411f1d6f0d5ea5be5d7 *src/misc.h
5afe05bc99f08f5f15cbeee503d0874f *src/rlmerMatrixUtils.cpp
28af621518583e9be4b5d3b5cd3f547b *src/rlmerMatrixUtils.h
458d59a01ae0423654b5fd17fdb3a97a *src/robustlmm_init.cpp
b027a89301b09e35de6d63a84ee425e7 *tests/DAS-scale.R
99dbc82347cab4b494384bce4d9962f5 *tests/DASvar-fallback.R
1d5cfe7812a83fc741d2609c96005c28 *tests/PsiFunction.R
375859a0fc7f5f1678a99001f9596c88 *tests/asymptoticEfficiency.R
c85977272f04c88ad38ed8fc811ab449 *tests/compare-methods.R
a936783a0c8d4e38bfbf071f101e09cf *tests/compare-methods.Rout.save
bfeecaea4478a6188e70b4d89f4e1a31 *tests/expectations.R
8385300e907bf2452f4b9474608a5333 *tests/fitDatasets.R
2672617acd6cebb37d26d26397c0abc2 *tests/genericFunctions.R
97cad4d75455d77a605d1bec3163a508 *tests/getME.R
faab7c68a84ef30a088555438c55df3f *tests/getME.Rout.save
17318d9a419096367efa1ae33c1e1083 *tests/multipleGroupingFactorsTestData.R
5c104e1d35aa161906cd6aaddf139870 *tests/offset.R
9b2b5429270d49a8b515bcd6eafeff70 *tests/psi-rho-funs.R
4b6172aae10676b86999ac54ef76f9b4 *tests/rlmerMod.R
a7c3e10494996a6e7d69906fafc45006 *tests/simulationStudies.R
6de7fb9d6411227c0de45b258c1ca55c *tests/subset.R
631c593a18278f086e1a7db3a2483450 *tests/tau.R
ac01e92b8b4d1760d1ad5e66a14ecb49 *tests/testMatrices.R
b9fa10a57a3b4fba5cd227c4c174104c *tests/weights.R
90531fe9270a68884d0967d156e34815 *vignettes/Figures/fig-convergence.pdf
b215e2abc58a35ff73d551fa51610cbf *vignettes/Figures/fig-ex-penicillin-contaminated.pdf
66e4632cf6af39507e8940b6270f3ec7 *vignettes/efficiency-table-B-optimal.tex
00cda1d762b845cf2aa14e96110cefea *vignettes/efficiency-table-lqq-locationScale.tex
84308501dd59a119f38156422469bf4f *vignettes/efficiency-table-lqq.tex
f3417404ea7938390caebabd31b2b4a1 *vignettes/jsslogo.pdf
34af96c5afa16d6def1dd03b86760bef *vignettes/rlmer.Rnw
bb21d820844d1ad92c4b21b1c9a983a2 *vignettes/rlmer.bib
e36d479eeeaa8a51e3ba633ef6b8b540 *vignettes/rlmer.sty
b2d3529920c74d0813d7183ffaecd571 *vignettes/simulationStudies.Rnw
c4acd16c2f3854346fadbad7e7426322 *vignettes/simulationStudies.bib
628b89560cf9240268c0d60a1dd514c6 *vignettes/tuning-constants-table.tex
