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htmcglm  

Hypothesis Testing for McGLMs
View on CRAN: Click here


Download and install htmcglm package within the R console
Install from CRAN:
install.packages("htmcglm")

Install from Github:
library("remotes")
install_github("cran/htmcglm")

Install by package version:
library("remotes")
install_version("htmcglm", "0.0.1")



Attach the package and use:
library("htmcglm")
Maintained by
Lineu Alberto Cavazani de Freitas
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-07-21
Latest Update:
Description:
Performs hypothesis testing for 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.
How to cite:
Lineu Alberto Cavazani de Freitas (2022). htmcglm: Hypothesis Testing for McGLMs. R package version 0.0.1, https://cran.r-project.org/web/packages/htmcglm. Accessed 04 Jun. 2026.
Previous versions and publish date:
0.0.1 (2022-07-21 14:10)
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