The EM Algorithm and Skew Mixture Distribution


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Documentation for package ‘EMMIXskew’ version 1.0.3

Help Pages

bootstrap Bootstrap
bootstrap.noc Bootstrap
conplot Functions of Contours
conplot2 Functions of Contours
conplot3 Functions of Contours
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
EmSkew The EM Algorithm and Skew Mixture Models
EmSkew.contours Scatter plot and Contours
EmSkew.filter Scatter plot and Contours
EmSkew.flow Scatter plot and Contours
EmSkewfit Fit the Multivariate Skew Mixture Models
EmSkewfit1 Fit the Multivariate Skew Mixture Models
EmSkewfit2 Fit the Multivariate Skew Mixture Models
EmSkewMOD Calculate modes
error.rate Error Rate
getcov Covariance
getICL The ICL criterion
getSWR Calculate modes
init.mix Initialize Emmix Parameters
initEmmix Initialize Emmix Parameters
interdist Calculate modes
intradist Calculate modes
inverse Inverse of a covariance matrix
mahalonobis Calculate modes
mvt.dof Degrees of freedom
mypanel2 Functions of Contours
mypanel3 Functions of Contours
mypanel4 Functions of Contours
panel.density Functions of Contours
rand.index Error Rate
rdemmix Simulate Data Using Mixture Models
rdemmix2 Simulate Data Using Mixture Models
rdemmix3 Simulate Data Using Mixture Models
rdmsn The Multivariate Skew Normal Distribution
rdmst The Multivariate Skew t-distribution
rdmvn The Multivariate Normal Distribution
rdmvt The Multivariate t-Distribution