mmNiWpdfC | R Documentation |
C++ implementation of multivariate Normal inverse Wishart probability density function for multiple inputs
mmNiWpdfC(Mu, Sigma, U_Mu0, U_Kappa0, U_Nu0, U_Sigma0, Log = TRUE)
Mu |
data matrix of dimension |
Sigma |
list of length |
U_Mu0 |
mean vectors matrix of dimension |
U_Kappa0 |
vector of length |
U_Nu0 |
vector of length |
U_Sigma0 |
list of length |
Log |
logical flag for returning the log of the probability density
function. Defaults is |
matrix of densities of dimension K x n
Hejblum BP, Alkhassim C, Gottardo R, Caron F and Thiebaut R (2019) Sequential Dirichlet Process Mixtures of Multivariate Skew t-distributions for Model-based Clustering of Flow Cytometry Data. The Annals of Applied Statistics, 13(1): 638-660. <doi: 10.1214/18-AOAS1209>. <arXiv: 1702.04407>. https://arxiv.org/abs/1702.04407 \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1214/18-AOAS1209")}
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