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.
Package details |
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Author | Edwin Kipruto [aut, cre], Michael Kammer [aut], Patrick Royston [aut], Willi Sauerbrei [aut] |
Maintainer | Edwin Kipruto <edwin.kipruto@uniklinik-freiburg.de> |
License | GPL-3 |
Version | 1.0.0 |
URL | https://github.com/EdwinKipruto/mfp2 |
Package repository | View on CRAN |
Installation |
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