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) ).


Reference manual

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install.packages("PROreg")

1.3.3 by Josu Najera-Zuloaga, 3 days ago


Browse source code at https://github.com/cran/PROreg


Authors: Josu Najera-Zuloaga [aut, cre] , Dae-Jin Lee [aut] , Inmaculada Arostegui [aut]


Documentation:   PDF Manual  


GPL license


Imports fmsb, car, RColorBrewer, matrixcalc, rootSolve, numDeriv, Matrix


Suggested by insight, parameters.


See at CRAN