Offers a variety of tools, such as specific plots and regression model approaches, for analyzing different patient reported questionnaires. Specially, mixed-effects models based on the beta-binomial distribution are implemented to deal with binomial data with over-dispersion (see Najera-Zuloaga J., Lee D.-J. and Arostegui I. (2018) <doi:10.1177/0962280217690413>).
| Version: | 1.2 |
| Imports: | fmsb, car, RColorBrewer, matrixcalc, rootSolve, numDeriv, Matrix |
| Published: | 2022-07-12 |
| Author: | Josu Najera-Zuloaga, Dae-Jin Lee, Inmaculada Arostegui |
| Maintainer: | Josu Najera-Zuloaga <josunajera at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL] |
| NeedsCompilation: | no |
| CRAN checks: | PROreg results |
| Reference manual: | PROreg.pdf |
| Package source: | PROreg_1.2.tar.gz |
| Windows binaries: | r-devel: PROreg_1.2.zip, r-release: PROreg_1.2.zip, r-oldrel: PROreg_1.2.zip |
| macOS binaries: | r-release (arm64): PROreg_1.2.tgz, r-oldrel (arm64): PROreg_1.2.tgz, r-release (x86_64): PROreg_1.2.tgz, r-oldrel (x86_64): PROreg_1.2.tgz |
| Old sources: | PROreg archive |
| Reverse suggests: | parameters |
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