Simulates residual multivariate Gaussian response data from a pedigree where the additive genetic, dominance genetic, and shared environmental effects are taken into account.
rmvtnorm.pedigree(n = 1, pedigree, h2 = 0, c2 = 0, d2 = 0)numeric. The number of simulations to generate
a pedigree object
numeric. The heritability
numeric. The environmentability
numeric. The dominance deviance effect
Returns a matrix with the simulated values with n columns (one for each simulation) and each row matches the corresponding individual from the pedigree
The three parameters should have a sum: h2+c2+d2 that is less than 1. The total variance is set to 1, and the mean is zero.
pedigree, kinship,
# NOT RUN {
library(kinship2)
library(mvtnorm)
mydata <- data.frame(id=1:5,
dadid=c(NA, NA, 1, 1, 1),
momid=c(NA, NA, 2, 2, 2),
sex=c("male", "female", "male", "male", "male"),
famid=c(1,1,1,1,1))
relation <- data.frame(id1=c(3), id2=c(4), famid=c(1), code=c(1))
ped <- pedigree(id=mydata$id, dadid=mydata$dadid, momid=mydata$momid,
sex=mydata$sex, relation=relation)
rmvtnorm.pedigree(2, ped, h2=.25)
# }
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