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>.
| 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 
[aut, cre],
Marcel Vieira
[aut],
Gustavo Silva [aut] |
| Maintainer: |
Pedro Pacheco <gustavoaeida2002 at gmail.com> |
| License: |
GPL (≥ 3) |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| CRAN checks: |
Mmcsd results |
Documentation:
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