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
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Mmcsd.pdf |Mmcsd.html✨
Mmcsd/json (API)
NEWS

# Install 'Mmcsd' in R:

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

Datasets:

example_data - A longitudinal example dataset.

On CRAN:

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 184 downloads 4 exports 30 dependencies

Last updated 2 years agofrom:facc01c8d7. Checks:1 OK, 8 WARNING. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Mar 21 2025
R-4.5-win	WARNING	Mar 21 2025
R-4.5-mac	WARNING	Mar 21 2025
R-4.5-linux	WARNING	Mar 21 2025
R-4.4-win	WARNING	Mar 21 2025
R-4.4-mac	WARNING	Mar 21 2025
R-4.4-linux	WARNING	Mar 21 2025
R-4.3-win	WARNING	Mar 21 2025
R-4.3-mac	WARNING	Mar 21 2025

Exports:%>%cov_mmcsd mmcsd sigmaThetaExpr_viewer

Dependencies:cli cpp11 data.table dplyr evaluate fansi generics glue highr jsonlite knitr lifecycle magrittr pillar pkgconfig purrr R6 rlang rlist stringi stringr tibble tidyr tidyselect utf8 vctrs withr xfun XML yaml

Modeling complex longitudinal data in a quick and easy way

Rendered frommy-vignette.Rmdusingknitr::rmarkdownon Mar 21 2025.

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

Citation

Readme and manuals

Help Manual

Help page	Topics
Fit covariance structered longitudinal model.	cov_mmcsd
A longitudinal example dataset.	example_data
Fit fixed and random effects longitudinal model.	mmcsd
covariance structure viewer to preview sigmaThetaExpr to be used in 'cov_mmcsd'.	sigmaThetaExpr_viewer
Summarise the results of 'mmcsd' fit.	summary.mmcsd
Summarise the results of 'cov_mmcsd' fit.	summary.mmcsd.theta