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MixMatrix
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", "0.2.8") Attach the package and use:
library("MixMatrix")
Maintained by
Geoffrey Thompson
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-07-28
Latest Update: 2024-09-30
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 0.2.8, https://cran.r-project.org/web/packages/MixMatrix. Accessed 08 Aug. 2026.
Previous versions and publish date:
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Other R packages that MixMatrix depends,
imports, suggests or enhances
Complete documentation for MixMatrix
Functions, R codes and Examples using
the MixMatrix R package
Some associated functions: ARgenerate . CSgenerate . MLmatrixnorm . MLmatrixt . MixMatrix . init_matrixmixture . matrixlda . matrixmixture . matrixqda . predict.matrixlda . predict.matrixqda . rmatrixinvt . rmatrixnorm . rmatrixt . vardet .
Some associated R codes: MixMatrix.R . RcppExports.R . inputchecks.R . matnormlda.R . matrixnorm.R . matrixt.R . matrixutils.R . meanvarfunc.R . mixnorm.R . mlmatrixt.R . Full MixMatrix package functions and examples
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