Package: repolr 3.4

Nick Parsons

repolr: Repeated Measures Proportional Odds Logistic Regression

Fits linear models to repeated ordinal scores using GEE methodology.

Authors:Nick Parsons

repolr_3.4.tar.gz
repolr_3.4.tar.gz(r-4.5-noble)repolr_3.4.tar.gz(r-4.4-noble)
repolr_3.4.tgz(r-4.4-emscripten)repolr_3.4.tgz(r-4.3-emscripten)
repolr.pdf |repolr.html✨
repolr/json (API)

# Install 'repolr' in R:
install.packages('repolr', repos = 'https://cloud.r-project.org')
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • HHSpain - Harris Hip Pain Scores
  • QoL - Quality of Life Scores
  • achilles - Achilles Tendon Rupture
  • begonia - Begonia Pot Plant Quality Scores
  • mobility - Mobility after Hip Fracture Fixation Surgery

On CRAN:

Conda:

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

openblascpp

1.00 score 232 downloads 24 exports 4 dependencies

Last updated 9 years agofrom:dd36501d42. Checks:3 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKMar 18 2025
R-4.5-linux-x86_64OKMar 18 2025
R-4.4-linux-x86_64OKMar 18 2025

Exports:alphpowcmatcoef.repolrconfint.repolrfitted.repolrhgmaticormatmodel.matrix.repolrord.expandordgeepolycutspotestpredict.repolrprint.repolrprint.summary.repolrQICrepolrresiduals.repolrsmatsummary.repolrterms.repolrupalphavcov.repolrwork.corr

Dependencies:latticeMatrixRcppRcppArmadillo

Citation

To cite package ‘repolr’ in publications use:

Parsons N (2016). repolr: Repeated Measures Proportional Odds Logistic Regression. R package version 3.4, https://CRAN.R-project.org/package=repolr.

ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.

Corresponding BibTeX entry: 

  @Manual{,
    title = {repolr: Repeated Measures Proportional Odds Logistic
      Regression},
    author = {Nick Parsons},
    year = {2016},
    note = {R package version 3.4},
    url = {https://CRAN.R-project.org/package=repolr},
  }