PROreg: Patient Reported Outcomes Regression Analysis

Offers a variety of tools, such as specific plots and regression model approaches, for analyzing different patient reported questionnaires. Specially, mixed-effects models based on the beta-binomial distribution are implemented to deal with binomial data with over-dispersion (see Najera-Zuloaga J., Lee D.-J. and Arostegui I. (2018) <doi:10.1177/0962280217690413>).

Version: 1.2
Imports: fmsb, car, RColorBrewer, matrixcalc, rootSolve, numDeriv, Matrix
Published: 2022-07-12
Author: Josu Najera-Zuloaga, Dae-Jin Lee, Inmaculada Arostegui
Maintainer: Josu Najera-Zuloaga <josunajera at>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
CRAN checks: PROreg results


Reference manual: PROreg.pdf


Package source: PROreg_1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): PROreg_1.2.tgz, r-oldrel (arm64): PROreg_1.2.tgz, r-release (x86_64): PROreg_1.2.tgz
Old sources: PROreg archive

Reverse dependencies:

Reverse suggests: parameters


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