Nothing
combine.ensembleBMAgamma <-
function (x, y, ...)
{
#
# copyright 2006-present, University of Washington. All rights reserved.
# for terms of use, see the LICENSE file
#
if (length(list(...)) == 0) {
z <- list( x, y)
}
else {
z <- c(list( x, y), list(...))
}
if (!all(sapply(z, function(x) class(x)[1]) == "ensembleBMAgamma"))
stop("merge components differ in class")
if (length(power <- unique(sapply(z, function(x) x$power))) != 1)
stop("merge components differ in data tranformation")
core <- combineCORE(z)
DATES <- names(core$nIter)
nam <- core$sortedMemberNames
n <- length(core$notdup)
prob0coefs <- array( NA, c( dim(x$prob0coefs)[1:2], n))
biasCoefs <- array( NA, c( dim(x$biasCoefs)[1:2], n))
varCoefs <- matrix( NA, nrow(x$varCoefs), n)
j <- 0
for (i in 1:length(z)) {
l <- dim(z[[i]]$weights)[2]
prob0coefs[,,j+(1:l)] <- z[[i]]$prob0coefs[,nam,]
biasCoefs[,,j+(1:l)] <- z[[i]]$biasCoefs[,nam,]
varCoefs[,j+(1:l)] <- z[[i]]$varCoefs
j <- j + l
}
prob0coefs <- prob0coefs[,,core$notdup]
biasCoefs <- biasCoefs[,,core$notdup]
varCoefs <- varCoefs[,core$notdup]
dimnames(prob0coefs) <- list( NULL, nam, DATES)
dimnames(biasCoefs) <- list( NULL, nam, DATES)
dimnames(varCoefs) <- list( NULL, DATES)
# use member ordering as in x
nam <- dimnames(x$weights)[[1]]
prob0coefs <- prob0coefs[,nam,]
biasCoefs <- biasCoefs[,nam,]
structure(list( training = list(days = days, lag = lag, table = table),
prob0coefs = prob0coefs, biasCoefs = biasCoefs, varCoefs = varCoefs,
weights = core$weights, nIter = core$nIter,
exchangeable = core$exch, power = power),
forecastHour = core$forecastHour,
initializationTime = core$initializationTime,
call = lapply( z, function(x) attr(x,"call")),
class = class(x))
}
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