getmlpmm

Utility function to extract the MLPMM summaries from a model fit
obtained through `fit_mlpmms`

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

getmlpmm function

<dl><dt>object</dt>
<dd>the output of `fit_lmms`</dd>
<dt>yname</dt>
<dd>a character giving the name of one of the longitudinal
outcomes modelled within one of the MLPMM</dd></dl>

Arguments

Author

Extract model fits from step 1 of PRC-LMM — getmlpmm

<dl>

<dt>object</dt>
<dd>the output of `fit_lmms`</dd>


<dt>yname</dt>
<dd>a character giving the name of one of the longitudinal
outcomes modelled within one of the MLPMM</dd>

</dl>

getmlpmm: Extract model fits from step 1 of PRC-LMM

Description

Usage

Value

Arguments

Author

References

See Also