Compute the probability density function of a matrix of features.

Compute the probability density function of a matrix of features.

pdfunc(x, univariate = TRUE)

Arguments

x	A matrix of numeric features.
univariate	Logical indicating whether the univariate pdf should be computed.

Value

A vector with values of the density function.

Details

pdfunc computes univariate or multivariate probabilities for a set of observations.

All columns of a row are used in computing the pdf.

Variance and covariance are computed using var and cov, where the denominator n-1 is used.

Examples

dmat <- matrix(c(3,1,3,1,2,3,-1,0),nrow=2)
pdfunc(dmat,TRUE)
#> [1] 0.009318495 0.009318495

#'@importFrom stats cov