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MixMatrix  

Classification with Matrix Variate Normal and t Distributions
View on CRAN: Click here


Download and install MixMatrix package within the R console
Install from CRAN:
install.packages("MixMatrix")

Install from Github:
library("remotes")
install_github("cran/MixMatrix")

Install by package version:
library("remotes")
install_version("MixMatrix", "0.2.6")



Attach the package and use:
library("MixMatrix")
Maintained by
Geoffrey Thompson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-07-28
Latest Update: 2021-11-16
Description:
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.
How to cite:
Geoffrey Thompson (2019). MixMatrix: Classification with Matrix Variate Normal and t Distributions. R package version 0.2.6, https://cran.r-project.org/web/packages/MixMatrix
Previous versions and publish date:
0.2.2 (2019-07-28 10:20), 0.2.4 (2019-11-14 23:30)
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