Computed the Euclidian distance matrix between to sets of points.

`crossDist(coord1, coord2 = coord1)`

coord1, coord2

Matrices with the coordinates of locations, between which distances are to be computed.

A `dim(coord1)[1]`

-by-`dim(coord2)[1]`

distance matrix.

Other covariance functions: `evalCovFuns`

,
`makeSigmaB`

, `makeSigmaNu`

,
`namesCovFuns`

, `parsCovFuns`

,
`updateCovf`

Other basic linear algebra: `blockMult`

,
`makeCholBlock`

, `norm2`

,
`sumLogDiag`

# NOT RUN { ##First create some random locations x <- rnorm(5) y <- rnorm(5) ##compute distance matrix D <- crossDist( cbind(x,y) ) ##or distance between different locations X <- matrix(rnorm(6),3,2) Y <- rbind(X, matrix(rnorm(8),4,2)) Dcross <- crossDist(X, Y) ##or distances between coordinates in R3 C1 <- matrix(rnorm(9),3,3) C2 <- matrix(rnorm(12),4,3) Dcross.R3 <- crossDist(C1, C2) # } # NOT RUN { # }