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.zip(r-4.7-x86_64)repolr_3.4.zip(r-4.7-arm64)repolr_3.4.zip(r-4.6-x86_64)repolr_3.4.zip(r-4.6-arm64)
repolr_3.4.tar.gz(r-4.7-arm64)repolr_3.4.tar.gz(r-4.7-x86_64)repolr_3.4.tar.gz(r-4.6-arm64)repolr_3.4.tar.gz(r-4.6-x86_64)
repolr_3.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
repolr/json (API)

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

On CRAN:

Conda:

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

openblascpp

1.64 score 44 scripts 274 downloads 24 exports 4 dependencies

Last updated from:dd36501d42. Checks:10 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK167
linux-devel-x86_64OK159
source / vignettesOK262
linux-release-arm64OK123
linux-release-x86_64OK154
windows-devel-arm64OK268
windows-devel-x86_64OK216
windows-release-arm64OK250
windows-release-x86_64OK239
wasm-releaseOK127

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

Dependencies:latticeMatrixRcppRcppArmadillo