twinsim: Simulate twin data

In mets: Analysis of Multivariate Event Times

Description

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

Usage

twinsim(nMZ = 100, nDZ = nMZ, b1 = c(), b2 = c(), mu = 0,
  acde = c(1, 1, 0, 1), randomslope = NULL, threshold = 0, cens = FALSE,
  wide = FALSE, ...)

Arguments

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

Author(s)

Klaus K. Holst

See Also

twinlm

mets documentation built on May 2, 2019, 4:43 p.m.