plack.cif

plack.cif2

.. content for description (no empty lines) ..

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>.
Also contains two-stage binomial modelling that can do pairwise odds-ratio
dependence modelling based marginal logistic regression models. This is an
alternative to the alternating logistic regression approach (ALR).

Klaus Holst

mets

Analysis of Multivariate Event Times

Klaus K. Holst

Thomas Scheike 

plack.cif function

<dl><dt>cif1</dt>
<dd>Cumulative incidence of first argument.</dd>
<dt>cif2</dt>
<dd>Cumulative incidence of second argument.</dd>
<dt>object</dt>
<dd>or.cif object with dependence parameters.</dd></dl>

Arguments

Author

plack Computes concordance for or.cif based model, that is Plackett random effects model — plack.cif

<dl>

<dt>cif1</dt>
<dd>Cumulative incidence of first argument.</dd>


<dt>cif2</dt>
<dd>Cumulative incidence of second argument.</dd>


<dt>object</dt>
<dd>or.cif object with dependence parameters.</dd>

</dl>

plack.cif: plack Computes concordance for or.cif based model, that is Plackett random effects model

Description

Usage

Arguments

Author