Package: Mmcsd 1.0.0

Mmcsd: Modeling Complex Longitudinal Data in a Quick and Easy Way

Matching longitudinal methodology models with complex sampling design. It fits fixed and random effects models and covariance structured models so far. It also provides tools to perform statistical tests considering these specifications as described in : Pacheco, P. H. (2021). "Modeling complex longitudinal data in R: development of a statistical package." <https://repositorio.ufjf.br/jspui/bitstream/ufjf/13437/1/pedrohenriquedemesquitapacheco.pdf>.

Authors:Pedro Pacheco [aut, cre], Marcel Vieira [aut], Gustavo Silva [aut]

Mmcsd_1.0.0.tar.gz
Mmcsd_1.0.0.zip(r-4.7)Mmcsd_1.0.0.zip(r-4.6)Mmcsd_1.0.0.zip(r-4.5)
Mmcsd_1.0.0.tgz(r-4.6-any)Mmcsd_1.0.0.tgz(r-4.5-any)
Mmcsd_1.0.0.tar.gz(r-4.7-any)Mmcsd_1.0.0.tar.gz(r-4.6-any)
Mmcsd_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
Mmcsd/json (API)
NEWS

# Install 'Mmcsd' in R:
install.packages('Mmcsd', repos = c('https://gustavo039.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.70 score 3 scripts 224 downloads 4 exports 29 dependencies

Last updated from:facc01c8d7. Checks:7 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64WARNING159
source / vignettesOK275
linux-release-x86_64WARNING140
macos-release-arm64WARNING141
macos-oldrel-arm64WARNING151
windows-develWARNING96
windows-releaseWARNING95
windows-oldrelWARNING109
wasm-releaseOK139

Exports:%>%cov_mmcsdmmcsdsigmaThetaExpr_viewer

Dependencies:clicpp11data.tabledplyrevaluategenericsgluehighrjsonliteknitrlifecyclemagrittrpillarpkgconfigpurrrR6rlangrliststringistringrtibbletidyrtidyselectutf8vctrswithrxfunXMLyaml

Modeling complex longitudinal data in a quick and easy way

Rendered frommy-vignette.Rmdusingknitr::rmarkdownon May 09 2026.

Last update: 2023-03-31
Started: 2023-03-31