print.npdflist

Prints the model comparison statistics comparing models with different numbers of latent populations, and prints the estimates from the optimal model according to the criterion that was specified when calling <code>npdf_cox</code> (by default, BIC criterion).

Functions for fitting Cox proportional hazards models for grouped time-to-event data, where the shared group-specific frailties have a discrete nonparametric distribution. The methods proposed in the package is described by Gasperoni, F., Ieva, F., Paganoni, A. M., Jackson, C. H., Sharples, L. (2018) <doi:10.1093/biostatistics/kxy071>. There are also functions for simulating from these models, with a nonparametric or a parametric baseline hazard function.

Francesca Gasperoni

discfrail

Cox Models for Time-to-Event Data with Nonparametric Discrete
Group-Specific Frailties

Christopher Jackson

print.npdflist function

<dl><dt>x</dt>
<dd>An object returned by <code>npdf_cox</code> with <code>estK=TRUE</code>, containing a list of fitted nonparametric discrete frailty models</dd>
<dt>digits</dt>
<dd>Number of significant digits to present, by default <code>max(1, getOption("digits") - 4)</code></dd>
<dt>...</dt>
<dd>Further options (currently unused)</dd></dl>

Arguments

Print output from a nonparametric discrete frailty modelling procedure with automatic model selection. — print.npdflist

<dl>

<dt>x</dt>
<dd>An object returned by <code>npdf_cox</code> with <code>estK=TRUE</code>, containing a list of fitted nonparametric discrete frailty models</dd>


<dt>digits</dt>
<dd>Number of significant digits to present, by default <code>max(1, getOption("digits") - 4)</code></dd>


<dt>...</dt>
<dd>Further options (currently unused)</dd>

</dl>

print.npdflist: Print output from a nonparametric discrete frailty modelling procedure with automatic model selection.

Description

Usage

Arguments