Description Usage Arguments Value Examples
rValeMaurelli
Simulate data from a multivariate nonnormal distribution such that
1) Each marginal distribution has a specified skewness and kurtosis
2) The marginal variables have the correlation matrix R
1 | rValeMaurelli(n, R, Fcoef)
|
n |
number of random vectors to be generated |
R |
desired correlation matrix of transformed variables |
Fcoef |
either vector with coefficents for the Fleishman transform to be applied to all variables or (nrow(R),3) matrix with different coefficients |
X (n,nrow(R)) data matrix
1 2 3 4 |
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