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mfp2  

Multivariable Fractional Polynomial Models with Extensions
View on CRAN: Click here


Download and install mfp2 package within the R console
Install from CRAN:
install.packages("mfp2")

Install from Github:
library("remotes")
install_github("cran/mfp2")

Install by package version:
library("remotes")
install_version("mfp2", "1.0.0")



Attach the package and use:
library("mfp2")
Maintained by
Edwin Kipruto
[Scholar Profile | Author Map]
First Published: 2023-11-14
Latest Update: 2023-11-14
Description:
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) 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) . This feature distinguishes it from a standard fractional polynomial function, which lacks the ability to achieve such modeling.
How to cite:
Edwin Kipruto (2023). mfp2: Multivariable Fractional Polynomial Models with Extensions. R package version 1.0.0, https://cran.r-project.org/web/packages/mfp2. Accessed 16 Apr. 2025.
Previous versions and publish date:
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Complete documentation for mfp2
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