summary.binregCV

Summary method for binregCV objects

Implementation of various statistical models for multivariate
event history data <doi:10.1007/s10985-013-9244-x>. Including multivariate
cumulative incidence models <doi:10.1002/sim.6016>, and bivariate random
effects probit models (Liability models) <doi:10.1016/j.csda.2015.01.014>.
Modern methods for survival analysis, including regression modelling (Cox, Fine-Gray,
Ghosh-Lin, Binomial regression) with fast computation of influence functions.

Klaus Holst

mets

Analysis of Multivariate Event Times

Klaus K. Holst

Thomas Scheike 

summary.binregCV function

<dl><dt>object</dt>
<dd>A <code>binregCV</code> object, as returned by
<code>brier_binreg</code> for a single evaluation time.</dd>
<dt>transform</dt>
<dd>Optional back-transformation function applied to Brier
scores and confidence limits, e.g. <code>exp</code> to undo the internal log
scale.</dd>
<dt>conf.level</dt>
<dd>Confidence level for the reported intervals (default
0.95).</dd>
<dt>type</dt>
<dd>Either <code>"cv"</code> (default) for cross-validated Brier scores
only, or <code>"both"</code> to also include apparent (in-sample) scores.</dd>
<dt>...</dt>
<dd>Not currently used.</dd></dl>

Arguments

Summary method for binregCV objects — summary.binregCV

<dl>

<dt>object</dt>
<dd>A <code>binregCV</code> object, as returned by
<code>brier_binreg</code> for a single evaluation time.</dd>


<dt>transform</dt>
<dd>Optional back-transformation function applied to Brier
scores and confidence limits, e.g. <code>exp</code> to undo the internal log
scale.</dd>


<dt>conf.level</dt>
<dd>Confidence level for the reported intervals (default
0.95).</dd>


<dt>type</dt>
<dd>Either <code>"cv"</code> (default) for cross-validated Brier scores
only, or <code>"both"</code> to also include apparent (in-sample) scores.</dd>


<dt>...</dt>
<dd>Not currently used.</dd>

</dl>

summary.binregCV: Summary method for binregCV objects

Description

Usage

Arguments