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
Built: R 3.2.5; ; 2017-04-20 07:18:55 UTC; windows
