Nothing
WCC <- function(warp.coef, ref, samp, B, trwdth = 20, wghts, mode,
ref.acors = NULL)
{
if (missing(wghts))
wghts <- 1 - (0:trwdth)/trwdth
if (is.null(ref.acors))
ref.acors <- apply(ref, 1, wac, trwdth = trwdth, wghts = wghts)
w <- B %*% warp.coef
interp <- warp.sample(samp, w, mode)
wccs <- sapply(1:ncol(interp),
function(i) {
wcc(ref[i, !is.na(interp[,i])],
interp[!is.na(interp[,i]), i],
trwdth = trwdth,
wghts = wghts,
acors1 = ref.acors[i])
})
1 - mean(wccs) # so that an optimal value is zero
}
wac <- function(pattern1, trwdth, wghts = NULL)
{
if (is.null(wghts))
wghts <- 1 - (0:trwdth)/trwdth
.C("wacdist",
as.double(pattern1),
as.integer(length(pattern1)),
as.double(wghts),
as.integer(trwdth),
wacval = double(1),
PACKAGE = "ptw")$wacval
}
wcc <- function(pattern1, pattern2, trwdth,
wghts = NULL, acors1 = NULL, acors2 = NULL)
{
if (is.null(wghts))
wghts <- 1 - (0:trwdth)/trwdth
if (is.null(acors1))
acors1 <- wac(pattern1, trwdth, wghts)
if (is.null(acors2))
acors2 <- wac(pattern2, trwdth, wghts)
.C("wccdist",
as.double(pattern1),
as.double(pattern2),
as.integer(length(pattern1)),
as.double(wghts),
as.integer(trwdth),
crossterm = double(1),
PACKAGE = "ptw")$crossterm / (acors1*acors2)
}
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