MixMatrix (0.2.2)

0 users

Classification with Matrix Variate Normal and t Distributions.

http://github.com/gzt/MixMatrix/
https://gzt.github.io/MixMatrix/
http://cran.r-project.org/web/packages/MixMatrix

Provides sampling and density functions for matrix variate normal, t, and inverted t distributions; ML estimation for matrix variate normal and t distributions using the EM algorithm, including some restrictions on the parameters; and classification by linear and quadratic discriminant analysis for matrix variate normal and t distributions described in Thompson et al. (2019) . Performs clustering with matrix variate normal and t mixture models.

Maintainer: Geoffrey Thompson
Author(s): Geoffrey Thompson [aut, cre] (<https://orcid.org/0000-0003-2436-8822>), B. D. Ripley author of original lda and qda functions [ctb, cph], W. N. Venables author of original lda and qda functions [ctb, cph]

License: GPL-3

Uses: CholWishart, Rcpp, ggplot2, testthat, knitr, dplyr, magrittr, rmarkdown, covr, spelling

Released 4 months ago.


Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of MixMatrix yet. Want to be the first? Write one now.


Related packages:(20 best matches, based on common tags.)


Search for MixMatrix on google, google scholar, r-help, r-devel.

Visit MixMatrix on R Graphical Manual.