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'))

Peer review:

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.

2.70 score 4 scripts 175 downloads 5 mentions 1 exports 2 dependencies

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

TargetResultDate
Doc / VignettesOKNov 03 2024
R-4.5-linuxWARNINGNov 03 2024

Exports:slim

Dependencies:data.tableMASS

slim: Singular Linear Models

Rendered fromslim.Rmdusingknitr::rmarkdownon Nov 03 2024.

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