mmtfa: Model-Based Clustering and Classification with Mixtures of Modified t Factor Analyzers

Fits a family of mixtures of multivariate t-distributions under a continuous t-distributed latent variable structure for the purpose of clustering or classification. The alternating expectation-conditional maximization algorithm is used for parameter estimation.

Author
Jeffrey L. Andrews, Paul D. McNicholas, and Mathieu Chalifour
Date of publication
2015-06-14 00:22:42
Maintainer
Jeffrey L. Andrews <jeffrey.andrews@macewan.ca>
License
GPL (>= 2)
Version
0.1

View on CRAN

Man pages

mmtfa
mmtfa: Function for Model-Based Clustering and Classification...
mmtfa-package
mmtfa: Model-Based Clustering and Classification with...

Files in this package

mmtfa
mmtfa/NAMESPACE
mmtfa/R
mmtfa/R/discrandz.R
mmtfa/R/ygupdate.R
mmtfa/R/winit.R
mmtfa/R/ICLcalc.R
mmtfa/R/vginit.R
mmtfa/R/uniformz.R
mmtfa/R/omupdate.R
mmtfa/R/plot.mmtfa.R
mmtfa/R/mugupdate.R
mmtfa/R/lgupdate.R
mmtfa/R/kmeansz.R
mmtfa/R/yginitc.R
mmtfa/R/dfupdatefun2.R
mmtfa/R/mmtfa.parallel.R
mmtfa/R/yginitu.R
mmtfa/R/sigmaup.R
mmtfa/R/dfupdatefun.R
mmtfa/R/lginitu.R
mmtfa/R/lginitc.R
mmtfa/R/thetagup.R
mmtfa/R/yginvup.R
mmtfa/R/pigupdate.R
mmtfa/R/sginitc.R
mmtfa/R/ngupdate.R
mmtfa/R/contrandz.R
mmtfa/R/sigmainvup.R
mmtfa/R/zupdate.R
mmtfa/R/mmtfa.R
mmtfa/R/triupdate.R
mmtfa/R/mmtfaEM.R
mmtfa/R/mmtfa-internal.R
mmtfa/R/tft.R
mmtfa/R/sginit.R
mmtfa/R/BICcalc.R
mmtfa/R/wupdate.R
mmtfa/R/sgupdate.R
mmtfa/R/muginit.R
mmtfa/R/betagup.R
mmtfa/R/deltaup.R
mmtfa/R/givenz.R
mmtfa/R/modelgen.R
mmtfa/MD5
mmtfa/DESCRIPTION
mmtfa/ChangeLog
mmtfa/man
mmtfa/man/mmtfa-package.Rd
mmtfa/man/mmtfa.Rd