Complex longitudinal data and the package | Functional programming | Package Avaliable Functions | 1 - Defining | 2 - How to call it | Examples | British Household Panel Survey - BHPS | Using a longitudinal dataset simulated by the 'simstudy' package | Linear formula population | Memoryless population
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:
Mmcsd_1.0.0.tar.gz
Mmcsd_1.0.0.zip(r-4.7-any)Mmcsd_1.0.0.zip(r-4.6-any)Mmcsd_1.0.0.zip(r-4.5-any)
Mmcsd_1.0.0.tgz(r-4.6-any)Mmcsd_1.0.0.tgz(r-4.5-any)
Mmcsd_1.0.0.tar.gz(r-4.7-any)Mmcsd_1.0.0.tar.gz(r-4.6-any)
Mmcsd_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
Mmcsd/json (API)
| # 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.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:facc01c8d7. Checks:7 WARNING, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | WARNING | 194 | ||
| source / vignettes | OK | 249 | ||
| linux-release | WARNING | 143 | ||
| macos-release | WARNING | 134 | ||
| macos-oldrel | WARNING | 151 | ||
| windows-devel | WARNING | 116 | ||
| windows-release | WARNING | 99 | ||
| windows-oldrel | WARNING | 89 | ||
| wasm-release | OK | 138 |
Exports:%>%cov_mmcsdmmcsdsigmaThetaExpr_viewer
Dependencies:clicpp11data.tabledplyrevaluategenericsgluehighrjsonliteknitrlifecyclemagrittrpillarpkgconfigpurrrR6rlangrliststringistringrtibbletidyrtidyselectutf8vctrswithrxfunXMLyaml
Modeling complex longitudinal data in a quick and easy way
Last update: 2023-03-31
Started: 2023-03-31
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 |