transform_vector_power

Simple function to transform vector by a single power

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.

Edwin Kipruto

mfp2

Multivariable Fractional Polynomial Models with Extensions

Michael Kammer

Patrick Royston

Willi Sauerbrei

transform_vector_power function

<dl><dt>x</dt>
<dd>a vector of a predictor variable.</dd>
<dt>power</dt>
<dd>single power.</dd></dl>

Arguments

Simple function to transform vector by a single power — transform_vector_power

<dl>

<dt>x</dt>
<dd>a vector of a predictor variable.</dd>


<dt>power</dt>
<dd>single power.</dd>

</dl>

transform_vector_power: Simple function to transform vector by a single power

Description

Usage

Value

Arguments