nlreg-package             package:nlreg             R Documentation

_H_i_g_h_e_r _O_r_d_e_r _I_n_f_e_r_e_n_c_e _f_o_r _N_o_n_l_i_n_e_a_r _H_e_t_e_r_o_s_c_e_d_a_s_t_i_c _M_o_d_e_l_s

_D_e_s_c_r_i_p_t_i_o_n:

     Likelihood inference based on higher order approximations for
     nonlinear models with possibly non constant variance

_D_e_t_a_i_l_s:


       Package:   nlreg
       Version:   1.2-0
       Date:      2009-10-03
       URL:       http://www.r-project.org, http://statwww.epfl.ch/AA/
       Depends:   R (>= 2.6.0), statmod, survival
       Suggests:  boot, cond, csampling, marg
       License:   GPL (>= 2)
       LazyLoad:  yes
       LazyData:  yes

     Index:


     Functions:
     =========
     Dmean                   Differentiate the Mean Function of a
     Nonlinear
                             Model
     Dvar                    Differentiate the Variance Function of a
                             Nonlinear Model
     contour.all.nlreg.profiles
                             Contour Method for 'nlreg' Objects
     expInfo                 Returns the Expected Information Matrix --
                             Generic Function
     expInfo.nlreg           Expected Information Matrix for 'nlreg'
                             Objects
     logLik.nlreg            Compute the Log Likelihood for Nonlinear
                             Heteroscedastic Models
     mpl                     Maximum Adjusted Profile Likelihood
     Estimation
                             -- Generic Function
     mpl.nlreg               Maximum Adjusted Profile Likelihood
     Estimates
                             for a 'nlreg' Object
     mpl.object              Maximum Adjusted Profile Likelihood Object
     nlreg                   Fit a Nonlinear Heteroscedastic Model via
                             Maximum Likelihood
     nlreg.diag              Nonlinear Heteroscedastic Model
     Diagnostics
     nlreg.object            Nonlinear Heteroscedastic Model Object
     obsInfo                 Returns the Observed Information Matrix --
                             Generic Function
     obsInfo.nlreg           Observed Information Matrix for 'nlreg'
                             Objects
     param                   Extract All Parameters from a Model --
     Generic
                             Function
     plot.nlreg.contours     Use plot() on a 'nlreg.contours' object
     plot.nlreg.diag         Diagnostic Plots for Nonlinear
     Heteroscedastic
                             Models
     plot.nlreg.profile      Use plot() on a 'profile.nlreg' and
                             'all.profiles.nlreg' object
     profile.nlreg           Profile Method for 'nlreg' Objects
     summary.all.nlreg.profiles
                             Summary Method for Objects of Class
                             'all.nlreg.profiles'
     summary.mpl             Summary Method for 'mpl' Objects
     summary.nlreg           Summary Method for Nonlinear
     Heteroscedastic
                             Models
     summary.nlreg.profile   Summary Method for Objects of Class
                             'nlreg.profile'
     var2cor                 Convert Covariance Matrix to Correlation
                             Matrix -- Generic Function


     Datasets:
     ========
     C1                      Herbicide Data (Chlorsulfuron)
     C2                      Herbicide Data (Chlorsulfuron)
     C3                      Herbicide Data (Chlorsulfuron)
     C4                      Herbicide Data (Chlorsulfuron)
     M2                      Herbicide Data (Metsulfuron Methyl)
     M4                      Herbicide Data (Metsulfuron Methyl)
     chlorsulfuron           Chlorsulfuron Data
     daphnia                 'Daphnia Magna' Data
     helicopter              Paper Helicopter Data
     metsulfuron             Metsulfuron Methyl Data
     ria                     Radioimmunoassay Data

     Further information is available in the following vignettes:

       'Rnews-paper'  hoa: An R Package Bundle for Higher Order Likelihood Inference (source, pdf)

_A_u_t_h_o_r(_s):

     S original by Alessandra R. Brazzale
     <alessandra.brazzale@unimore.it> and Ruggero Bellio
     <ruggero.bellio@dss.uniud.it>.  R port by Alessandra R. Brazzale
     <alessandra.brazzale@unimore.it>, following earlier work by
     Douglas Bates.

     Maintainer: Alessandra R. Brazzale
     <alessandra.brazzale@unimore.it>

