Package: mcglm
Type: Package
Title: Multivariate Covariance Generalized Linear Models
Version: 0.4.0
Date: 2018-04-10
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.  McGLM 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.
See Bonat (2018) <doi:10.18637/jss.v084.i04>, for more information
and examples.
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: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-10 18:52:38 UTC; wagner
Repository: CRAN
Date/Publication: 2018-04-10 22:01:49 UTC