Last data update: 2014.03.03
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mcglm
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 <wbonat@ufpr.br>
Authors@R: c(person(c("Wagner","Hugo"), "Bonat", role = c("aut", "cre"),
email = "wbonat@ufpr.br"),
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
URL: https://github.com/wbonat/mcglm
BugReports: https://github.com/wbonat/mcglm/issues
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
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
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