Simulate twin data

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Description

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

Usage

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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

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