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y = mvnpdf(X) returns the n -by- 1 vector y , containing the probability density of the Example. mu = [1 -1]; Sigma = [.9 .4; .4 .3]; X = mvnrnd(mu,Sigma,10); p Jump to Examples - Function File: y = mvnpdf ( x ); Function File: y = mvnpdf ( x , mu ); Function File: y = mvnpdf ( x , mu , sigma ). Compute multivariate normal pdf for x given mean Usage. mvnpdf(x, mean, varcovM, Log = TRUE) Examples. # NOT RUN { mvnpdf(x=matrix(1.96), mean=0, varcovM=diag(1), Log=FALSE) dnorm(1.96) Sep 5, 2018 -

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