dmvtmix {flowClust} | R Documentation

## Density of the Multivariate t Mixture Distribution with Box-Cox Tranformation

### Description

This function computes the densities at the inputted points of the multivariate t mixture distribution with Box-Cox transformation.

### Usage

    dmvtmix(x, w, mu, sigma, nu, lambda, object, subset, include,
      log = FALSE)

### Arguments

`x` | A matrix or data frame of size N x P, where N is the number of observations and P is the dimension. Each row corresponds to one observation.
`w` | A numeric vector of length K containing the cluster proportions.
`mu` | A matrix of size K x P containing the K mean vectors.
`sigma` | An array of size K x P x P containing the K covariance matrices.
`nu` | A numeric vector of length K containing the degrees of freedom used for the t distribution. If only one value is specified for `nu`, then it is used for all K clusters. If `nu=Inf`, Gaussian distribution will be used.
`lambda` | The Box-Cox transformation parameter. If missing, the conventional t distribution without transformation will be used.
`object` | An optional argument. If provided, it's an object returned from `flowClust`, and the previous arguments will be assigned values from the corresponding slots of `object`.
`subset` | An optional argument. If provided, it's a numeric vector indicating which variables are selected for computing the densities. If `object` is provided and `object@varNames` is not `NULL`, then a character vector containing the names of the variables is allowed.
`include` | An optional argument. If provided, it's a numeric vector specifying which clusters are included for computing the densities.
`log` | A logical value. If `TRUE` then the logarithm of the densities is returned.

### Value

A vector of length N containing the density values.

### Author(s)

Raphael Gottardo <raph@stat.ubc.ca>, Kenneth Lo <c.lo@stat.ubc.ca>

[Package flowClust version 3.32.0 Index]