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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>).
Getting started
Browse package contents
Package details |
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| Author | Josu Najera-Zuloaga <josu.najera@ehu.eus>, Dae-Jin Lee <Dae-Jin.Lee@ie.edu>, Inmaculada Arostegui <inmaculada.arostegui@ehu.eus> |
| Maintainer | Josu Najera-Zuloaga <josu.najera@ehu.eus> |
| License | GPL |
| Version | 1.3 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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