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>.
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 

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