mvsnlikC: C++ implementation of multivariate skew normal likelihood...

In borishejblum/NPflow: Bayesian Nonparametrics for Automatic Gating of Flow-Cytometry Data

C++ implementation of multivariate skew normal likelihood function for multiple inputs

Description

C++ implementation of multivariate skew normal likelihood function for multiple inputs

Usage

mvsnlikC(x, c, clustval, xi, psi, sigma, loglik = TRUE)

Arguments

x	data matrix of dimension p x n, p being the dimension of the data and n the number of data points
c	integer vector of cluster allocations with values from 1 to K
clustval	vector of unique values from c in the order corresponding to the storage of cluster parameters in xi, psi, and sigma
xi	mean vectors matrix of dimension p x K, K being the number of clusters
psi	skew parameter vectors matrix of dimension p x K
sigma	list of length K of variance-covariance matrices, each of dimensions p x p.
loglik	logical flag or returning the log-likelihood instead of the likelihood. Default is TRUE.

Value

a list:

"indiv":	vector of likelihood of length n;
"clust":	vector of likelihood of length K;
"total":	total (log)-likelihood;

Author(s)

Boris Hejblum

borishejblum/NPflow documentation built on Feb. 2, 2024, 1:51 a.m.