mfp2: Multivariable Fractional Polynomial Models with Extensions

Multivariable fractional polynomial algorithm simultaneously selects variables and functional forms in both generalized linear models and Cox proportional hazard models. Key references for this algorithm are Royston and Altman (1994)<doi:10.2307/2986270> and Sauerbrei and Royston (2008, ISBN:978-0-470-02842-1). In addition, it can model a 'sigmoid' relationship between variable x and an outcome variable y using the approximate cumulative distribution transformation proposed by Royston (2014) <doi:10.1177/1536867X1401400206>. This feature distinguishes it from a standard fractional polynomial function, which lacks the ability to achieve such modeling.

Version: 1.0.0
Depends: R (≥ 4.2.0)
Imports: ggplot2 (≥ 3.4.0), stats, survival, utils
Suggests: knitr, testthat (≥ 3.0.0), xfun, rmarkdown, formatR, patchwork, spelling
Published: 2023-11-14
DOI: 10.32614/CRAN.package.mfp2
Author: Edwin Kipruto [aut, cre], Michael Kammer [aut], Patrick Royston [aut], Willi Sauerbrei [aut]
Maintainer: Edwin Kipruto <edwin.kipruto at>
License: GPL-3
NeedsCompilation: yes
Language: en-US
Materials: README NEWS
CRAN checks: mfp2 results


Reference manual: mfp2.pdf
Vignettes: Multivariable Fractional Polynomials with Extensions


Package source: mfp2_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): mfp2_1.0.0.tgz, r-oldrel (arm64): mfp2_1.0.0.tgz, r-release (x86_64): mfp2_1.0.0.tgz, r-oldrel (x86_64): mfp2_1.0.0.tgz

Reverse dependencies:

Reverse imports: test2norm


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