Installation
About
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.
github.com/gzt/MixMatrix/ | |
gzt.github.io/MixMatrix/ | |
Bug report | File report |
Key Metrics
Downloads
Yesterday | 8 0% |
Last 7 days | 181 +4% |
Last 30 days | 762 -3% |
Last 90 days | 2.169 +8% |
Last 365 days | 8.214 +9% |