ddmsn {EMMIXskew} | R Documentation |
Density and random generation for Multivariate Skew Normal distributions with mean vector mean
,
covariance matrix cov
, and skew parameter vector del
.
ddmsn(dat,n, p, mean, cov, del) rdmsn( n, p, mean, cov, del)
dat |
An n by p numeric matrix, the dataset |
n |
An integer, the number of observations |
p |
An integer, the dimension of data |
mean |
A length of p vector, the mean |
cov |
A p by p matrix, the covariance |
del |
A length of p vector, the skew parameter |
ddmsn
gives the density values; rdmsn
generates the random numbers
rdemmix
,ddmvn
,ddmvt
,
ddmst
,rdmvn
,rdmvt
,
rdmst
.
n <- 100 p <- 2 mean <- rep(0,p) cov <- diag(p) del<- c(0,1) set.seed(3214) y <- rdmsn( n,p,mean,cov,del) den <- ddmsn(y,n,p,mean,cov,del)