Make a multivariate design matrix

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.

See also

spPredict

Author

Andrew O. Finley finleya@msu.edu,
Sudipto Banerjee sudiptob@biostat.umn.edu.

Examples

if (FALSE) { # \dontrun{
##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))
} # }