multivariateT: Multivariate t
In rockclimber112358/MCLE: Package to robustly fit distributions

Description Usage Arguments Details

Functions defining the multivariate t-distribution.

devMT(x, params)

gradDevMT(x, params)

paramVec2ListMT(paramVec)

paramList2VecMT(paramList)

`x`	A numeric matrix of observations (one row per observation).
`params`	A vector, typically as created by paramList2Vec called on a list object with three elements: xi, Omega, nu.
`paramVec`	A vector of the parameters of the multivariate distribution.
`paramList`	A list with three elements: xi (a vector prodiving the center), Omega (a matrix describing the dispersion), and nu (a numeric providing the heaviness of the tails).

The deviance function returns the deviance of all the observations with the given parameters. The gradDev function computes the gradient of this deviance. The other two functions are useful for converting parameter vectors to lists and vice versa, and thus they return the list or vector.

rockclimber112358/MCLE documentation built on May 27, 2019, 12:15 p.m.