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>).

Getting started

Package details

AuthorJosu Najera-Zuloaga [aut, cre], Dae-Jin Lee [aut], Inmaculada Arostegui [aut]
MaintainerJosu Najera-Zuloaga <josu.najera@ehu.eus>
LicenseGPL
Version1.3.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("PROreg")

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PROreg documentation built on Aug. 21, 2025, 5:54 p.m.