plot.npdflist

Survival or cumulative hazard curves from a nonparametric discrete frailty model chosen by automatic model selection

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

plot.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>K</dt>
<dd>The number of latent populations which identifies the specific model to plot estimates from. By default this is the model selected by the criterion specified when calling <code>npdf_cox</code>.</dd>
<dt>...</dt>
<dd>Options to customise the plot, passed to <code>plot.npdf</code>. See <code>plot.npdf</code> for a description of these.</dd></dl>

Arguments

Survival or cumulative hazard curves from a nonparametric discrete frailty model chosen by automatic model selection — plot.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>K</dt>
<dd>The number of latent populations which identifies the specific model to plot estimates from. By default this is the model selected by the criterion specified when calling <code>npdf_cox</code>.</dd>


<dt>...</dt>
<dd>Options to customise the plot, passed to <code>plot.npdf</code>. See <code>plot.npdf</code> for a description of these.</dd>

</dl>

plot.npdflist: Survival or cumulative hazard curves from a nonparametric discrete frailty model chosen by automatic model selection

Description

Usage

Arguments

See Also

Examples