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. (2017) <doi:10.1177/0962280217690413>).

Version: 1.1
Imports: fmsb, car, RColorBrewer, matrixcalc, rootSolve, numDeriv, Matrix
Published: 2020-06-13
Author: Josu Najera-Zuloaga, Dae-Jin Lee, Inmaculada Arostegui
Maintainer: Josu Najera-Zuloaga <jnajera at deusto.es>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
CRAN checks: PROreg results

Downloads:

Reference manual: PROreg.pdf
Package source: PROreg_1.1.tar.gz
Windows binaries: r-devel: PROreg_1.1.zip, r-release: PROreg_1.1.zip, r-oldrel: PROreg_1.1.zip
macOS binaries: r-release (arm64): PROreg_1.1.tgz, r-release (x86_64): PROreg_1.1.tgz, r-oldrel: PROreg_1.1.tgz
Old sources: PROreg archive

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