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Mmcsd

1.0.0Package record

Modeling Complex Longitudinal Data in a Quick and Easy Way

0packages depend
2.5Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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.

Changes in 1.0.0
  • Initial release, with functions mmcsd(), and cov_mmcsd()

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 3.5 min · r-release-macos-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK12 OK2026-04-25
Show 2 earlier changesHide 2 earlier changes
  • ERROR13 OK, 1 ERROR2026-03-30
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.0.0
READMEYes · 175 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structured · mentions 1.0.0Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
7 (1 internal)
Examples that run
20%1 run in a plain check · 4 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
75%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

2.5K
CRAN downloads in the past year
Rank #17,153 · ~7/day · ~212/mo
Daily download trend is not available in this view yet.
33530 days
74190 days
2.5K1 year
Compare downloads with other packages →
Also on65 r2u5 autocran

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)

Installing Mmcsd adds 29 packages (17 with compiled code, 26 MB of source tarballs). Heaviest: stringi 11 MB, data.table 5.7 MB, jsonlite 1.0 MB.

Depends (1)
R >= 2.10
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Author, Maintainer since 1.0.0 (2023)
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0.0Latest
    2023-03-31 · current release
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2023-03-31
Total releases
1 / 3 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 2.10
Bundled data
24 KB / 1 file
Download size
130 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("Mmcsd")
Pacheco, P., Silva, G., & Vieira, M. (2023). Mmcsd: Modeling Complex Longitudinal Data in a Quick and Easy Way (Version 1.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.Mmcsd

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for Mmcsd version 1.0.0 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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