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." <>.

Version: 1.0.0
Depends: R (≥ 2.10)
Imports: dplyr, knitr, magrittr, methods, purrr, rlist, stats, tibble, tidyr
Suggests: rmarkdown, simstudy, kableExtra, tidyverse
Published: 2023-03-31
DOI: 10.32614/CRAN.package.Mmcsd
Author: Pedro Pacheco ORCID iD [aut, cre], Marcel Vieira ORCID iD [aut], Gustavo Silva [aut]
Maintainer: Pedro Pacheco <gustavoaeida2002 at>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README NEWS
CRAN checks: Mmcsd results


Reference manual: Mmcsd.pdf
Vignettes: Modeling complex longitudinal data in a quick and easy way


Package source: Mmcsd_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): Mmcsd_1.0.0.tgz, r-oldrel (arm64): Mmcsd_1.0.0.tgz, r-release (x86_64): Mmcsd_1.0.0.tgz, r-oldrel (x86_64): Mmcsd_1.0.0.tgz


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