twinsim: Simulate twin data #

In twinlm: Linear models for twin data

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

Value

A list with the following elements #

data	Data in long format (one row for each individual.

#

model

The multigroup structural equation model.

#

wide	A list of data.frames (MZ data and DZ data) in wide format # (one row for each pair) eady for a structural equation model.

Author(s)

Klaus K. Holst

See Also

twinlm

twinlm documentation built on May 2, 2019, 4:42 p.m.