fast.pattern

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 

fast.pattern function

<dl><dt>x</dt>
<dd>Matrix (binary) of patterns. Optionally if <code>y</code> is
also passed as argument, then the pattern matrix is defined as the
elements agreeing in the two matrices.</dd>
<dt>y</dt>
<dd>Optional matrix argument with same dimensions as <code>x</code> (see above)</dd>
<dt>categories</dt>
<dd>Default 2 (binary)</dd>
<dt>...</dt>
<dd>Optional additional arguments</dd></dl>

Arguments

Author

Fast pattern — fast.pattern

<dl>

<dt>x</dt>
<dd>Matrix (binary) of patterns. Optionally if <code>y</code> is
also passed as argument, then the pattern matrix is defined as the
elements agreeing in the two matrices.</dd>


<dt>y</dt>
<dd>Optional matrix argument with same dimensions as <code>x</code> (see above)</dd>


<dt>categories</dt>
<dd>Default 2 (binary)</dd>


<dt>...</dt>
<dd>Optional additional arguments</dd>

</dl>

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fast.pattern: Fast pattern

Description

Usage

Arguments

Author

Examples