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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>).

Versions across snapshots

VersionRepositoryFileSize
1.3.2 rolling linux/jammy R-4.5 PROreg_1.3.2.tar.gz 166.6 KiB
1.3.2 rolling linux/noble R-4.5 PROreg_1.3.2.tar.gz 166.4 KiB
1.3.2 rolling source/ R- PROreg_1.3.2.tar.gz 37.7 KiB
1.3.2 latest linux/jammy R-4.5 PROreg_1.3.2.tar.gz 166.6 KiB
1.3.2 latest linux/noble R-4.5 PROreg_1.3.2.tar.gz 166.4 KiB
1.3.2 latest source/ R- PROreg_1.3.2.tar.gz 37.7 KiB
1.3.2 2026-04-26 source/ R- PROreg_1.3.2.tar.gz 37.7 KiB
1.3.2 2026-04-23 source/ R- PROreg_1.3.2.tar.gz 37.7 KiB
1.3.2 2026-04-09 windows/windows R-4.5 PROreg_1.3.2.zip 169.8 KiB
1.3 2025-04-20 source/ R- PROreg_1.3.tar.gz 37.3 KiB

Dependencies (latest)

Imports