EMMIX (EM-Based Mixture Analysis)

[Up] [Top]

Documentation for package ‘EMMIX’ version 1.0.16

Help Pages

bootstrap Bootstrap
bootstrap.noc Bootstrap
ddmix Density Functions of Mixture Models
ddmsn The Multivariate Skew Normal Distribution
ddmst The Multivariate Skew t-distribution
ddmvn The Multivariate Normal Distribution
ddmvt The Multivariate t-Distribution
emmix The EM Algorithm and Mixture Models
emmixDA Discriminant Analysis (DA) using Mixture Models
emmixda Discriminant Analysis (DA) using Mixture Models
emmixfit Fit the Multivariate Mixture Models
emmixfit1 Fit the Multivariate Mixture Models
emmixfit2 Fit the Multivariate Mixture Models
emmixMOD Calculate Mean, Covariance matrix and Modes
emmixpred Discriminant Analysis (DA) using Mixture Models
error.rate Error Rate
getICL The ICL criterion
getSWR Mahalonobis Distance
init.mix Initialize Emmix Parameters
initEmmix Initialize Emmix Parameters
interdist Mahalonobis Distance
intradist Mahalonobis Distance
mahalonobis Mahalonobis Distance
rdemmix Simulate Data of Mixture Models
rdemmix2 Simulate Data of Mixture Models
rdemmix3 Simulate Data of Mixture Models
rdmsn The Multivariate Skew Normal Distribution
rdmst The Multivariate Skew t-distribution
rdmvn The Multivariate Normal Distribution
rdmvt The Multivariate t-Distribution