twinsim

Simulate twin data from a linear normal ACE/ADE/AE model.

models

regression

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 

twinsim function

<dl><dt>nMZ</dt>
<dd>Number of monozygotic twin pairs</dd>
<dt>nDZ</dt>
<dd>Number of dizygotic twin pairs</dd>
<dt>b1</dt>
<dd>Effect of covariates (labelled x1,x2,...) of type 1. One
distinct covariate value for each twin/individual.</dd>
<dt>b2</dt>
<dd>Effect of covariates (labelled g1,g2,...) of type 2. One
covariate value for each twin pair.</dd>
<dt>mu</dt>
<dd>Intercept parameter.</dd>
<dt>acde</dt>
<dd>Variance of random effects (in the order A,C,D,E)</dd>
<dt>randomslope</dt>
<dd>Logical indicating wether to include random slopes of
the variance components w.r.t. x1,x2,...</dd>
<dt>threshold</dt>
<dd>Treshold used to define binary outcome y0</dd>
<dt>cens</dt>
<dd>Logical variable indicating whether to censor outcome</dd>
<dt>wide</dt>
<dd>Logical indicating if wide data format should be returned</dd>
<dt>...</dt>
<dd>Additional arguments parsed on to lower-level functions</dd></dl>

Arguments

Author

Simulate twin data — twinsim

<dl>

<dt>nMZ</dt>
<dd>Number of monozygotic twin pairs</dd>


<dt>nDZ</dt>
<dd>Number of dizygotic twin pairs</dd>


<dt>b1</dt>
<dd>Effect of covariates (labelled x1,x2,...) of type 1. One
distinct covariate value for each twin/individual.</dd>


<dt>b2</dt>
<dd>Effect of covariates (labelled g1,g2,...) of type 2. One
covariate value for each twin pair.</dd>


<dt>mu</dt>
<dd>Intercept parameter.</dd>


<dt>acde</dt>
<dd>Variance of random effects (in the order A,C,D,E)</dd>


<dt>randomslope</dt>
<dd>Logical indicating wether to include random slopes of
the variance components w.r.t. x1,x2,...</dd>


<dt>threshold</dt>
<dd>Treshold used to define binary outcome y0</dd>


<dt>cens</dt>
<dd>Logical variable indicating whether to censor outcome</dd>


<dt>wide</dt>
<dd>Logical indicating if wide data format should be returned</dd>


<dt>...</dt>
<dd>Additional arguments parsed on to lower-level functions</dd>

</dl>

twinsim: Simulate twin data

Description

Usage

Arguments

Author

See Also