MixMatrix
Classification with Matrix Variate Normal and t Distributions
v0.2.8
·
Sep 30, 2024
·
GPL-3
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) <doi:10.1080/10618600.2019.1696208>. Performs clustering with matrix variate normal and t mixture models.
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| r-devel-linux-x86_64-fedora-gcc | OK |
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| r-oldrel-windows-x86_64 | OK |
| r-patched-linux-x86_64 | OK |
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| r-release-macos-x86_64 | OK |
| r-release-windows-x86_64 | OK |