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mfp  

Multivariable Fractional Polynomials
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("mfp", "1.5.4.1")



Attach the package and use:
library("mfp")
Maintained by
Georg Heinze
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2004-08-01
Latest Update: 2023-07-19
Description:
Fractional polynomials are used to represent curvature in regression models. A key reference is Royston and Altman, 1994.
How to cite:
Georg Heinze (2004). mfp: Multivariable Fractional Polynomials. R package version 1.5.4.1, https://cran.r-project.org/web/packages/mfp. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.2.1 (2004-08-01 13:24), 1.2.2 (2004-08-11 23:26), 1.3.0 (2005-05-30 12:57), 1.3.1 (2005-09-24 19:51), 1.3.2 (2005-12-21 17:27), 1.4.0 (2007-05-18 11:37), 1.4.1 (2007-11-13 08:55), 1.4.2 (2007-11-13 14:41), 1.4.3 (2007-12-12 12:41), 1.4.4 (2008-04-07 08:44), 1.4.5 (2008-06-26 10:04), 1.4.6 (2008-08-31 13:02), 1.4.8 (2010-09-21 10:14), 1.4.9 (2010-11-29 09:24), 1.5.0 (2014-10-02 17:19), 1.5.1 (2015-02-04 15:56), 1.5.2.1 (2021-12-02 21:55), 1.5.2.2 (2022-01-20 20:12), 1.5.2 (2015-09-09 15:15), 1.5.4 (2023-07-19 16:30)
Other packages that cited mfp R package
View mfp citation profile
Other R packages that mfp depends, imports, suggests or enhances
Complete documentation for mfp
Functions, R codes and Examples using the mfp R package
Some associated functions: GBSG . bodyfat . cox . fp . mfp . mfpject . predict.mfp . 
Some associated R codes: cox.R . fp.R . fp.fit.R . fp.gen.R . fp.order.R . fp.out.R . fp.rescale.R . fp.scale.R . fp.sel.R . mfp.R . mfp.fit.R . mx.com.R . plot.mfp.R . predict.mfp.R . print.mfp.R . summary.mfp.R .  Full mfp package functions and examples
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