DESCRIPTION~

Package: htmcglm
Title: Hypothesis testing for McGLMs
Version: 0.0.1
Authors@R: c(person(c("Lineu Alberto","Cavazani"), "de Freitas", role = c("aut", "cre"),
                    email = "lineuacf@gmail.com"),
	     person(c("Wagner","Hugo"), "Bonat", role = "ctb"),
	     person(c("Walmes", "Marques"), "Zeviani", role = "ctb"))
Description: Performs hypothesis testing for McGLMs multivariate covariance generalized linear
     models (McGLMs).  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.
License: MIT + file LICENSE
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.0
Imports: 
    stats,
    doBy,
    Matrix,
    mcglm,
    sjmisc,
    stringr