mcgfa: Mixtures of Contaminated Gaussian Factor Analyzers

Performs clustering and classification using the Mixtures of Contaminated Gaussian Factor Analyzers model. Allows for automatic detection of outliers and noise.

Install the latest version of this package by entering the following in R:
install.packages("mcgfa")
AuthorMartin Blostein [aut, cre], Antonio Punzo [ctb], Paul D. McNicholas [ctb, ths]
Date of publication2016-10-02 22:52:42
MaintainerMartin Blostein <martin.blostein@gmail.com>
LicenseGPL (>= 2)
Version1.0.0

View on CRAN

Files

src
src/Makevars
src/mahal_updates.c
src/eta_updates.c
src/functions.h
src/other_updates.c
src/alpha_updates.c
src/zv_updates.c
src/mcgfa.c
src/debug.c
src/gaussj.c
src/optimize.c
src/aecm.c
NAMESPACE
data
data/olive.rda
data/gaussnoise.rda
data/wine.rda
R
R/s3methods.R R/c_wrapper_function.R R/mcgfa_EM.R R/init_load.R R/create_progress_bar.R R/check_init_class.R R/mcgfa.R
MD5
DESCRIPTION
man
man/wine.Rd man/mcgfa.Rd man/olive.Rd man/gaussnoise.Rd man/mcgfa-package.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

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