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 = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

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

1.32 score 21 scripts 241 downloads 24 exports 4 dependencies

Last updated 9 years agofrom:dd36501d42. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 01 2024
R-4.5-linux-x86_64OKOct 01 2024

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

Dependencies:latticeMatrixRcppRcppArmadillo