folds

Splits <code>n</code> observations into random folds for cross-validation.

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 

folds function

<dl><dt>n</dt>
<dd>number of observations.</dd>
<dt>folds</dt>
<dd>number of folds (default 10).</dd></dl>

Arguments

Generate Random Fold Indices for Cross-Validation — folds

<dl>

<dt>n</dt>
<dd>number of observations.</dd>


<dt>folds</dt>
<dd>number of folds (default 10).</dd>

</dl>

folds: Generate Random Fold Indices for Cross-Validation

Description

Usage

Value

Arguments