Modeling Complex Longitudinal Data in a Quick and Easy Way R package Mmcsd version 1.0.0 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>. Software Depends: R (>= 2.10) Imports: dplyr, knitr, magrittr, methods, purrr, rlist, stats, tibble, tidyr Suggests: rmarkdown, simstudy, kableExtra, tidyverse Pedro Pacheco <gustavoaeida2002@gmail.com> Comprehensive R Archive Network (CRAN) Pedro Pacheco [aut, cre] (ORCID: <https://orcid.org/0000-0003-4804-1576>), Marcel Vieira [aut] (ORCID: <https://orcid.org/0000-0002-0456-380X>), Gustavo Silva [aut] GPL (>= 3) 2023-03-31 application/tgz https://CRAN.R-project.org/package=Mmcsd doi:10.32614/CRAN.package.Mmcsd