ensure_length

Used to make sure dimensions of matrix rows match.

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

ensure_length function

<dl><dt>x</dt>
<dd>input vector or matrix.</dd>
<dt>size</dt>
<dd>length or size of <code>x</code> which is desired.</dd>
<dt>fill</dt>
<dd>value to fill in if <code>x</code> is not of desired length or size.</dd></dl>

Arguments

Helper function to ensure vectors have a specified length — ensure_length

<dl>

<dt>x</dt>
<dd>input vector or matrix.</dd>


<dt>size</dt>
<dd>length or size of <code>x</code> which is desired.</dd>


<dt>fill</dt>
<dd>value to fill in if <code>x</code> is not of desired length or size.</dd>

</dl>

ensure_length: Helper function to ensure vectors have a specified length

Description

Usage

Arguments