Description Usage Arguments Value Author(s) Examples
View source: R/oclCombo1col3.R
Function to call OpenCL to calculate posterior means and standard deviations of random effects in models with 2 structure matrices.
1 | oclCombo1col3(a, b, b2, D, tausqy, tausqphi, By)
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a |
Eigenvector matrix of 1st Q matrix. |
b |
Eigenvector matrix of 2nd Q matrix. |
b2 |
Eigenvector matrix of 3rd Q matrix. |
D |
Matrix of eigenvalues from the 2 structure matrices. |
tausqy |
Vector of samples of measurement error precision. |
tausqphi |
Matrix sampled values of spatial precisions. |
By |
Vector resulting from premultiplication of data vector y b transpose of kronecker sum of eigenvector matrices. |
phimean |
Vector of means of posterior densities of random effects |
phisd |
Vector of standard deviations of marginal posterior |
Michael Seedorff
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | ##---- Should be DIRECTLY executable !! ----
##-- ==> Define data, use random,
##-- or do help(data=index) for the standard data sets.
## The function is currently defined as
function (a, b, b2, D, tausqy, tausqphi, By)
{
if (!is.numeric(a) | !is.numeric(b) | !is.numeric(b2))
stop("a, b, and b2 must be numeric matrices")
na1 <- nrow(a)
nb1 <- nrow(b)
nb21 <- nrow(b2)
nc1 <- length(tausqy)
F1 <- ncol(tausqphi) + 1
nab <- na1 * nb1 * nb21
mresults <- rep(0, 2 * nab)
out <- .C("oclCombo1col3", a = as.double(as.vector(t(a))),
b = as.double(as.vector(t(b))), b2 = as.double(as.vector(t(b2))),
D = as.double(as.vector(t(D))), tausqy = as.double(tausqy),
tausqphi = as.double(as.vector(t(tausqphi))), By = as.double(By),
results = as.double(mresults), na1 = as.integer(na1),
nb1 = as.integer(nb1), nb21 = as.integer(nb21), nc1 = as.integer(nc1),
F1 = as.integer(F1))
return(list(phimean = out$results[1:nab], phisd = sqrt(out$results[(nab +
1):(2 * nab)]/(nc1 - 1))))
}
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