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.