name_transformed_variables

Helper function to name transformed variables

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

name_transformed_variables function

<dl><dt>name</dt>
<dd>character with name of variable being transformed.</dd>
<dt>n_powers</dt>
<dd>number of resulting variables from FP-transformation.</dd>
<dt>acd</dt>
<dd>logical indicating the use of ACD-transformation</dd></dl>

Arguments

Helper function to name transformed variables — name_transformed_variables

<dl>

<dt>name</dt>
<dd>character with name of variable being transformed.</dd>


<dt>n_powers</dt>
<dd>number of resulting variables from FP-transformation.</dd>


<dt>acd</dt>
<dd>logical indicating the use of ACD-transformation</dd>

</dl>

name_transformed_variables: Helper function to name transformed variables

Description

Usage

Value

Arguments