Multivariable fractional polynomial algorithm simultaneously selects variables and functional forms in both generalized linear models and Cox proportional hazard models. Key references are Royston and Altman (1994) <doi:10.2307/2986270> and Royston and Sauerbrei (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: 1.0.1 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: 2025-05-15 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 uniklinik-freiburg.de> BugReports: https://github.com/EdwinKipruto/mfp2/issues License: GPL-3 URL: https://github.com/EdwinKipruto/mfp2 NeedsCompilation: no Language: en-US Materials: README, NEWS CRAN checks: mfp2 results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=mfp2 to link to this page.
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