mmsNiWpdfC | R Documentation |
C++ implementation of multivariate structured Normal inverse Wishart probability density function for multiple inputs
mmsNiWpdfC(xi, psi, Sigma, U_xi0, U_psi0, U_B0, U_Sigma0, U_df0, Log = TRUE)
xi |
data matrix of dimensions |
psi |
data matrix of dimensions |
Sigma |
list of length |
U_xi0 |
mean vectors matrix of dimension |
U_psi0 |
skew parameter vectors matrix of dimension |
U_B0 |
list of length |
U_Sigma0 |
list of length |
U_df0 |
vector 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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