The Matrix Normal Distribution (matrixNormal)
Computes densities, probabilities, and random deviates of the Matrix Normal (Iranmanesh et.al. (2010) <doi:10.7508/ijmsi.2010.02.004>). Also incl …

Learning Bayesian Networks with Mixed Variables (deal)
Bayesian networks with continuous and/or discrete variables can be learned and compared from data. The method is described in Boettcher and Dethlefsen …

A Common API to Modeling and Analysis Functions (parsnip)
A common interface is provided to allow users to specify a model without having to remember the different argument names across different functions or …