Package: PROreg 1.3

Josu Najera-Zuloaga

PROreg: Patient Reported Outcomes Regression Analysis

It offers a wide variety of techniques, such as graphics, recoding, or regression models, for a comprehensive analysis of patient-reported outcomes (PRO). Especially novel is the broad range of regression models based on the beta-binomial distribution useful for analyzing binomial data with over-dispersion in cross-sectional, longitudinal, or multidimensional response studies (see Najera-Zuloaga J., Lee D.-J. and Arostegui I. (2019) <doi:10.1002/bimj.201700251>).

Authors:Josu Najera-Zuloaga <[email protected]>, Dae-Jin Lee <[email protected]>, Inmaculada Arostegui <[email protected]>

PROreg_1.3.tar.gz
PROreg_1.3.tar.gz(r-4.5-noble)PROreg_1.3.tar.gz(r-4.4-noble)
PROreg_1.3.tgz(r-4.4-emscripten)PROreg_1.3.tgz(r-4.3-emscripten)
PROreg.pdf |PROreg.html
PROreg/json (API)

# Install 'PROreg' in R:
install.packages('PROreg', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • EDpro - Eating Disorders patient-reported outcome data.

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

1.93 score 41 scripts 2.1k downloads 19 exports 63 dependencies

Last updated 8 months agofrom:2d5096df4e. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 09 2024
R-4.5-linuxNOTENov 09 2024

Exports:BBestBBmmBBregBIestdBBdBIHRQoLplotprint.BBestprint.BBmmprint.BBregprint.summary.BBestprint.summary.BBmmprint.summary.BBregrBBrBISF36recsummary.BBestsummary.BBmmsummary.BBreg

Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfansifarverfmsbFormulagenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4magrittrMASSMatrixmatrixcalcMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6RColorBrewerRcppRcppEigenrlangrootSolvescalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr