print.npdf

Prints estimates, standard errors, likelihood and model comparison statistics from a fitted nonparametric discrete frailty model

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.npdf function

<dl><dt>x</dt>
<dd>A fitted nonparametric discrete frailty model, as returned by <code>npdf_cox</code> with <code>estK=FALSE</code></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 fitted nonparametric discrete frailty model — print.npdf

<dl>

<dt>x</dt>
<dd>A fitted nonparametric discrete frailty model, as returned by <code>npdf_cox</code> with <code>estK=FALSE</code></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.npdf: Print output from a fitted nonparametric discrete frailty model

Description

Usage

Arguments