Last data update: 2014.03.03


Package: mcglm
Type: Package
Title: Multivariate Covariance Generalized Linear Models
Version: 0.3.0
Date: 2016-06-06
Author: Wagner Hugo Bonat [aut, cre],
Walmes Marques Zeviani [ctb],
Fernando de Pol Mayer [ctb]
Maintainer: Wagner Hugo Bonat <>
Authors@R: c(person(c("Wagner","Hugo"), "Bonat", role = c("aut", "cre"),
email = ""),
person(c("Walmes","Marques"), "Zeviani", role = "ctb"),
person(c("Fernando", "de Pol"), "Mayer", role = "ctb"))
Description: Fitting multivariate covariance generalized linear
models (McGLMs) to data. McGLMs is a general framework for non-normal
multivariate data analysis, designed to handle multivariate response
variables, along with a wide range of temporal and spatial correlation
structures defined in terms of a covariance link function combined
with a matrix linear predictor involving known matrices.
The models take non-normality into account in the conventional way
by means of a variance function, and the mean structure is modelled
by means of a link function and a linear predictor.
The models are fitted using an efficient Newton scoring algorithm
based on quasi-likelihood and Pearson estimating functions, using
only second-moment assumptions. This provides a unified approach to
a wide variety of different types of response variables and covariance
structures, including multivariate extensions of repeated measures,
time series, longitudinal, spatial and spatio-temporal structures.
The package offers a user-friendly interface for fitting McGLMs
similar to the glm() R function.
Depends: R (>= 3.2.1)
Suggests: testthat, plyr, lattice, latticeExtra, knitr, rmarkdown,
MASS, mvtnorm, tweedie, devtools
Imports: stats, Matrix, assertthat, graphics
License: GPL-3 | file LICENSE
LazyData: TRUE
Encoding: UTF-8
VignetteBuilder: knitr
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-09 14:10:09 UTC; fernando
Repository: CRAN
Date/Publication: 2016-06-09 20:23:56

● 0 images, 60 functions, 5 datasets
● Reverse Depends: 0

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'mcglm' ...
** package 'mcglm' successfully unpacked and MD5 sums checked
** R
** data
*** moving datasets to lazyload DB
** inst
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'mcglm'
    finding HTML links ... done
    ESS                                     html  
    GOSHO                                   html  
    Hunting                                 html  
    NewBorn                                 html  
    RJC                                     html  
    ahs                                     html  
    anova.mcglm                             html  
    coef.mcglm                              html  
    confint.mcglm                           html  
    covprod                                 html  
    fit_mcglm                               html  
    fitted.mcglm                            html  
    gof                                     html  
    mc_bias_corrected_std                   html  
    mc_build_C                              html  
    mc_build_bdiag                          html  
    mc_build_omega                          html  
    mc_build_sigma                          html  
    mc_build_sigma_between                  html  
    mc_car                                  html  
    mc_compute_rho                          html  
    mc_conditional_test                     html  
    mc_core_pearson                         html  
    mc_correction                           html  
    mc_cross_sensitivity                    html  
    mc_cross_variability                    html  
    mc_derivative_C_rho                     html  
    mc_derivative_cholesky                  html  
    mc_derivative_expm                      html  
    mc_derivative_sigma_beta                html  
    mc_dexp_gold                            html  
    mc_dist                                 html  
    mc_expm                                 html  
    mc_getInformation                       html  
    mc_id                                   html  
    mc_initial_values                       html  
    mc_link_function                        html  
    mc_list2vec                             html  
    mc_ma                                   html  
    mc_matrix_linear_predictor              html  
    mc_mixed                                html  
    mc_pearson                              html  
    mc_quasi_score                          html  
    mc_robust_std                           html  
    mc_rw                                   html  
    mc_sandwich                             html  
    mc_sensitivity                          html  
    mc_sic                                  html  
    mc_sic_covariance                       html  
    mc_transform_list_bdiag                 html  
    mc_updateBeta                           html  
    mc_updateCov                            html  
    mc_variability                          html  
    mc_variance_function                    html  
    mcglm                                   html  
    pAIC                                    html  
    pKLIC                                   html  
    plogLik                                 html  
    plot.mcglm                              html  
    print.mcglm                             html  
    residuals.mcglm                         html  
    soil                                    html  
    soya                                    html  
    summary.mcglm                           html  
    vcov.mcglm                              html  
** building package indices
** installing vignettes
** testing if installed package can be loaded
* DONE (mcglm)
Making 'packages.html' ... done