R/rmnorm.R
In bayesball/LearnBayes: Learning Bayesian Inference
rmnorm=function(n = 1, mean = rep(0, d), varcov)
{
d <- if (is.matrix(varcov))
ncol(varcov)
else 1
z <- matrix(rnorm(n * d), n, d) %*% chol(varcov)
y <- t(mean + t(z))
return(y)
}
bayesball/LearnBayes documentation built on May 11, 2019, 9:21 p.m.
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rmnorm=function(n = 1, mean = rep(0, d), varcov)
{
d <- if (is.matrix(varcov))
ncol(varcov)
else 1
z <- matrix(rnorm(n * d), n, d) %*% chol(varcov)
y <- t(mean + t(z))
return(y)
}
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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