Introduction | References
Package: slim 0.1.1
Daniel Farewell
slim: Singular Linear Models for Longitudinal Data
Fits singular linear models to longitudinal data. Singular linear models are useful when the number, or timing, of longitudinal observations may be informative about the observations themselves. They are described in Farewell (2010) <doi:10.1093/biomet/asp068>, and are extensions of the linear increments model <doi:10.1111/j.1467-9876.2007.00590.x> to general longitudinal data.
Authors:
slim_0.1.1.tar.gz
slim_0.1.1.tar.gz(r-4.7-any)slim_0.1.1.tar.gz(r-4.6-any)
slim_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
slim/json (API)
| # Install 'slim' in R: |
| install.packages('slim', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- dialysis - Renal Function in Three Groups of Peritoneal Dialysis Patients
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:0684337ee2. Checks:2 WARNING, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | WARNING | 125 | ||
| source / vignettes | OK | 185 | ||
| linux-release-x86_64 | WARNING | 125 | ||
| wasm-release | OK | 113 |
Exports:slim
Dependencies:data.tableMASS
