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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>).

Version: 1.3
Imports: fmsb, car, RColorBrewer, matrixcalc, rootSolve, numDeriv, Matrix
Published: 2024-03-13
DOI: 10.32614/CRAN.package.PROreg
Author: Josu Najera-Zuloaga, Dae-Jin Lee, Inmaculada Arostegui
Maintainer: Josu Najera-Zuloaga <josu.najera at ehu.eus>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
CRAN checks: PROreg results

Documentation:

Reference manual: PROreg.pdf

Downloads:

Package source: PROreg_1.3.tar.gz
Windows binaries: r-devel: PROreg_1.3.zip, r-release: PROreg_1.3.zip, r-oldrel: PROreg_1.3.zip
macOS binaries: r-release (arm64): PROreg_1.3.tgz, r-oldrel (arm64): PROreg_1.3.tgz, r-release (x86_64): PROreg_1.3.tgz, r-oldrel (x86_64): PROreg_1.3.tgz
Old sources: PROreg archive

Reverse dependencies:

Reverse suggests: insight, parameters

Linking:

Please use the canonical form https://CRAN.R-project.org/package=PROreg to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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