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-4.5)Mmcsd_1.0.0.zip(r-4.4)Mmcsd_1.0.0.zip(r-4.3)
Mmcsd_1.0.0.tgz(r-4.4-any)Mmcsd_1.0.0.tgz(r-4.3-any)
Mmcsd_1.0.0.tar.gz(r-4.5-noble)Mmcsd_1.0.0.tar.gz(r-4.4-noble)
Mmcsd_1.0.0.tgz(r-4.4-emscripten)Mmcsd_1.0.0.tgz(r-4.3-emscripten)
Mmcsd.pdf |Mmcsd.html✨
Mmcsd/json (API)
NEWS

Peer review:

On CRAN:

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

4 exports 0.00 score 30 dependencies 3 scripts 230 downloads

Last updated 1 years agofrom:facc01c8d7. Checks:OK: 1 WARNING: 6. Indexed: yes.

Exports:%>%cov_mmcsdmmcsdsigmaThetaExpr_viewer

Dependencies:clicpp11data.tabledplyrevaluatefansigenericsgluehighrjsonliteknitrlifecyclemagrittrpillarpkgconfigpurrrR6rlangrliststringistringrtibbletidyrtidyselectutf8vctrswithrxfunXMLyaml