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PROreg  

Patient Reported Outcomes Regression Analysis
View on CRAN: Click here


Download and install PROreg package within the R console
Install from CRAN:
install.packages("PROreg")

Install from Github:
library("remotes")
install_github("cran/PROreg")

Install by package version:
library("remotes")
install_version("PROreg", "1.3.2")



Attach the package and use:
library("PROreg")
Maintained by
Josu Najera-Zuloaga
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-05-06
Latest Update: 2025-09-03
Description:
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) ).
How to cite:
Josu Najera-Zuloaga (2017). PROreg: Patient Reported Outcomes Regression Analysis. R package version 1.3.2, https://cran.r-project.org/web/packages/PROreg. Accessed 28 Jun. 2026.
Previous versions and publish date:
1.0 (2017-05-06 11:06), 1.1 (2020-06-13 17:00), 1.2 (2022-07-12 17:10), 1.3.1 (2025-08-21 08:30), 1.3 (2024-03-13 13:20)
Other packages that cited PROreg R package
View PROreg citation profile
Other R packages that PROreg depends, imports, suggests or enhances
Complete documentation for PROreg
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