rmatnorm

Number of random matrices to simulate

Covariance matrix defining dependence between rows

Covariance matrix defining dependence between columns

average value of each entry in the sampled matrices

Draw random matrices from the matrix normal distribution $$MN(M, U, V)$$ 
Note that an observation, $X$, from this equation has the following 
distribution when vectorized $$vec(X) ~ N(vec(M), kron(V, U) )$$

Implementation of the remote effects spatial process (RESP) model for teleconnection. The RESP model is a geostatistical model that allows a spatially-referenced variable (like average precipitation) to be influenced by covariates defined on a remote domain (like sea surface temperatures). The RESP model is introduced in Hewitt et al. (2018) <doi:10.1002/env.2523>. Sample code for working with the RESP model is available at <https://jmhewitt.github.io/research/resp_example>. This material is based upon work supported by the National Science Foundation under grant number AGS 1419558. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.

rmatnorm: Simulate matrices from matrix normal distributions

Description

Usage

Arguments