R Observatory: Metrics for htmcglm version 0.0.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2023-08-25. Its history is shown below.

Reason: requires archived package 'mcglm'

Details below reflect version 0.0.1, its last release before removal.

htmcglm

0.0.1Package record

Hypothesis Testing for McGLMs

0packages depend

–downloads / year

–test coverage

–flavors OK

Overview

About

Maintained by Lineu Alberto Cavazani de FreitasCRAN page ↗GitHub ↗

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.

Install

R (source archive)pak (dev)

url <- "https://cran.r-project.org/src/contrib/Archive/htmcglm/htmcglm_0.0.1.tar.gz"
pkgFile <- "htmcglm_0.0.1.tar.gz"
download.file(url, pkgFile)
install.packages(pkgFile, type = "source", repos = NULL)

This package is no longer on CRAN, so install.packages() cannot fetch it by name. This downloads the last archived source (0.0.1) and builds it locally. Install its dependencies first, and note that building from source needs the usual compiler toolchain.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("lineu96/htmcglm")

Development version from lineu96/htmcglm. Installs pak first if it is not already available.

Health

CRAN checks

CRAN check results are not tracked yet.

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.0.1

READMEYes · 46 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 12
Examples that run: 100%12 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

How these are measured

Downloads

Releases R versions

Daily download trend is not available in this view yet.

Compare downloads with other packages →

Also on33 r2u6 autocran

How downloads are counted

Dependencies

Declared dependencies

4 external dependencies (excludes base and recommended)

Depends (0)

none

Imports (6)

statsdoByMatrixmcglm sjmisc stringr

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

–indirect (not tracked)

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (3)

Lineu Alberto Cavazani

Author, Maintainer

Wagner Hugo

Contributor

Walmes Marques

Contributor

Maintainer since 0.0.1 (2022)

Releases (1)

R
R 4.4.0 released · 2024-04-24
archivedRemoved from CRAN
2023-08-25
requires archived package 'mcglm'
R
R 4.3.0 released · 2023-04-21
0.0.1
record
2022-07-21
R
R 4.2.0 released · 2022-04-22

Package metadata

First published: 2022-07-21
Total releases: 1 / 4 yrs
License: MIT + file LICENSE OSI

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("htmcglm")

Format

Cavazani, L. A., Hugo, W., & Marques, W. (n.d.). htmcglm: Hypothesis Testing for McGLMs (Version 0.0.1) [Computer software]. Retrieved October 26, 2026, from https://CRAN.R-project.org/package=htmcglm

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for htmcglm version 0.0.1 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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