spatpred = function (formula, data, data.p, coords, coords.p, n.samples,uniqueid,
nburn, ...)
{
require(spBayes)
frame <- model.frame(formula, data)
y <- model.extract(frame, "response")
val <- FALSE
if (length(y) < dim(data)[1])
val <- TRUE
m.1 <- spLM(formula, data = data, coords = coords, n.samples = n.samples,
, ...)
######### PREDICTION ###########
data.p[names(frame)[1]] <- -99
newcovs <- model.matrix(formula, data.p)
out <- spPredict(m.1, pred.coords = coords.p, pred.covars = newcovs)
prediction <- data.frame(Monitor = as.character(data.p$Monitor),
predmean = apply(out$p.y.predictive.samples[, nburn:n.samples],
1, mean), predsd = apply(out$p.y.predictive.samples[,
nburn:n.samples], 1, sd))
results <- list()
results$model <- m.1
results$predmodel <- out
results$pred <- prediction
results$coords <- coords
results$coords.p <- coords.p
results$validate <- val
class(results) <- "spatpredmodel"
return(results)
}
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