msn.dev.grad

param

a matrix of explanatory variables.
Missing values (<code>NA</code>s) are not allowed.

a matrix contaning the response variable.
Missing values (<code>NA</code>s) are not allowed.

a vector of weights, with length equal to <code>nrow(y)</code>.

freq

logical value.
If <code>trace=TRUE</code>, details are printed. Default value is <code>F</code>.

trace

Computes the gradient of twice the negative profile log-likelihood 
for multivariate regression models with errors having a multivariate
skew-normal distribution.

multivariate

regression

Functions for manipulating skew-normal and skew-t probability 
  distributions, and for fitting them to data, in the scalar and the 
  multivariate case.

msn.dev.grad: Gradient of the deviance for multivariate skew-normal distributions

Description

Usage

Arguments

Value

Details

See Also