estimate.binregCV

Joint estimate across CV models for a binregCV object

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 

estimate.binregCV function

<dl><dt>x</dt>
<dd>A `binregCV` object.</dd>
<dt>f</dt>
<dd>Optional transformation function passed to `lava::estimate`.</dd>
<dt>...</dt>
<dd>Not currently used.</dd></dl>

Arguments

Joint estimate across CV models for a binregCV object — estimate.binregCV

<dl>

<dt>x</dt>
<dd>A `binregCV` object.</dd>


<dt>f</dt>
<dd>Optional transformation function passed to `lava::estimate`.</dd>


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

</dl>

estimate.binregCV: Joint estimate across CV models for a binregCV object

Description

Usage

Arguments