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htmcglm
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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]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-07-21
Latest Update: 2023-08-25
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 21 Dec. 2024.
Previous versions and publish date:
0.0.1 (2022-07-21 14:10)
Other packages that cited htmcglm R package
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Other R packages that htmcglm depends,
imports, suggests or enhances
Functions, R codes and Examples using
the htmcglm R package
Some associated functions: apc . mc_anova_I . mc_anova_II . mc_anova_III . mc_anova_dispersion . mc_linear_hypothesis . mc_manova_I . mc_manova_II . mc_manova_III . mc_manova_dispersion . mc_mult_multcomp . mc_multcomp .
Some associated R codes: apc.R . mc_anova_I.R . mc_anova_II.R . mc_anova_III.R . mc_anova_dispersion.R . mc_linear_hypothesis.R . mc_manova_I.R . mc_manova_II.R . mc_manova_III.R . mc_manova_dispersion.R . mc_mult_multcomp.R . mc_multcomp.R . Full htmcglm package functions and examples
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