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:Daniel Farewell [aut, cre]

slim_0.1.1.tar.gz
slim_0.1.1.tar.gz(r-4.5-noble)slim_0.1.1.tar.gz(r-4.4-noble)
slim_0.1.1.tgz(r-4.4-emscripten)slim_0.1.1.tgz(r-4.3-emscripten)
slim.pdf |slim.html
slim/json (API)
NEWS

# 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

On CRAN:

Conda:

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

2.70 score 210 downloads 5 mentions 1 exports 2 dependencies

Last updated 8 years agofrom:0684337ee2. Checks:1 OK, 1 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 03 2025
R-4.5-linuxWARNINGMar 03 2025

Exports:slim

Dependencies:data.tableMASS

slim: Singular Linear Models

Rendered fromslim.Rmdusingknitr::rmarkdownon Mar 03 2025.

Last update: 2017-05-15
Started: 2016-11-07