calculate_number_fp_powers

This function takes a list <code>x</code> containing fractional polynomial powers for all variables
and calculates the total number of powers across the 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

calculate_number_fp_powers function

<dl><dt>x</dt>
<dd>A list of fractional polynomial powers for all variables.</dd></dl>

Arguments

Calculates the total number of fractional polynomial powers in adjustment variables. — calculate_number_fp_powers

<dl>

<dt>x</dt>
<dd>A list of fractional polynomial powers for all variables.</dd>

</dl>

calculate_number_fp_powers: Calculates the total number of fractional polynomial powers in adjustment variables.

Description

Usage

Value

Arguments