mkMvX: Make a multivariate design matrix

In spBayes: Univariate and Multivariate Spatial-Temporal Modeling

Make a multivariate design matrix

Description

Given q univariate design matrices, the function mkMvX creates a multivariate design matrix suitable for use in spPredict.

Usage

  mkMvX(X)

Arguments

X	a list of q univariate design matrices. The matrices must have the same number of rows (i.e., observations) but may have different number of columns (i.e., regressors).

Value

A multivariate design matrix suitable for use in spPredict.

Author(s)

Andrew O. Finley [e-mail],
Sudipto Banerjee [e-mail].

See Also

spPredict

Examples

## Not run: 
##Define some univariate model design matrices
##with intercepts.
X.1 <- cbind(rep(1, 10), matrix(rnorm(50), nrow=10))
X.2 <- cbind(rep(1, 10), matrix(rnorm(20), nrow=10))
X.3 <- cbind(rep(1, 10), matrix(rnorm(30), nrow=10))

##Make a multivariate design matrix suitable
##for use in spPredict.
X.mv <- mkMvX(list(X.1, X.2, X.3))

## End(Not run)

spBayes documentation built on May 17, 2022, 5:07 p.m.