print.mfp2

Enhances printing by information on data processing and fractional
polynomials.

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

print.mfp2 function

<dl><dt>x</dt>
<dd><code>mfp2</code> object to be printed.</dd>
<dt>...</dt>
<dd>passed to <code>print</code> methods of underlying model class. A useful
option as the <code>digits</code> argument, indicating printed digits.</dd></dl>

Arguments

Print method for objects of class mfp2 — print.mfp2

<dl>

<dt>x</dt>
<dd><code>mfp2</code> object to be printed.</dd>


<dt>...</dt>
<dd>passed to <code>print</code> methods of underlying model class. A useful
option as the <code>digits</code> argument, indicating printed digits.</dd>

</dl>

print.mfp2: Print method for objects of class `mfp2`

Description

Usage

Value

Arguments