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.
|Author||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]|
|Maintainer||Geoffrey Thompson <email@example.com>|
|Package repository||View on CRAN|
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