coef.mfp2

This function is a method for the generic <code><a href="/link/stats%3A%3Acoef()?package=mfp2&version=1.0.0" data-mini-rdoc="mfp2::stats::coef()">stats::coef()</a></code> function for
objects of class <code>mfp2</code>.

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

coef.mfp2 function

<dl><dt>object</dt>
<dd>an object of class <code>mfp2</code>, usually, a result of a call to
<code>mfp2()</code>.</dd>
<dt>...</dt>
<dd>not used.</dd></dl>

Arguments

This function is a method for the generic <code><a href='https://rdrr.io/r/stats/coef.html'>stats::coef()</a></code> function for
objects of class <code>mfp2</code>.

Extract coefficients from object of class mfp2 — coef.mfp2

<dl>

<dt>object</dt>
<dd>an object of class <code>mfp2</code>, usually, a result of a call to
<code>mfp2()</code>.</dd>


<dt>...</dt>
<dd>not used.</dd>

</dl>

coef.mfp2: Extract coefficients from object of class `mfp2`

Description

Usage

Value

Arguments