summary.prcmlpmm

Summary method for PRC-MLPMM model fits

Computes penalized regression calibration (PRC), a
statistical method that allows to predict survival from
high-dimensional longitudinal predictors. PRC is described in
Signorelli et al. (2021) <doi:10.1002/sim.9178>.

Mirko Signorelli

pencal

Penalized Regression Calibration (PRC)

Pietro Spitali

Roula Tsonaka

summary.prcmlpmm function

<dl><dt>object</dt>
<dd>an object of class <code>prcmlpmm</code></dd>
<dt>...</dt>
<dd>additional arguments</dd></dl>

Arguments

Author

Summary method for PRC-MLPMM model fits — summary.prcmlpmm

<dl>

<dt>object</dt>
<dd>an object of class <code>prcmlpmm</code></dd>


<dt>...</dt>
<dd>additional arguments</dd>

</dl>

summary.prcmlpmm: Summary method for PRC-MLPMM model fits

Description

Usage

Value

Arguments

Author

References

See Also