coarse_clust

Reduces the number of unique clusters by binning into quantile groups.

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 

coarse_clust function

<dl><dt>clusters</dt>
<dd>vector of cluster identifiers.</dd>
<dt>max.clust</dt>
<dd>maximum number of coarsened clusters.</dd></dl>

Arguments

Coarsen Cluster Identifiers — coarse_clust

<dl>

<dt>clusters</dt>
<dd>vector of cluster identifiers.</dd>


<dt>max.clust</dt>
<dd>maximum number of coarsened clusters.</dd>

</dl>

coarse_clust: Coarsen Cluster Identifiers

Description

Usage

Value

Arguments