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floopCauchyLoss <- function (par,x,y) {
t <- par[1:length(x)]
cx <- par[length(x)+1]
cy <- par[length(x)+2]
b.x <- par[length(x)+3]
b.y <- par[length(x)+4]
logm <- par[length(x)+5]
logn <- par[length(x)+6]
retention <- par[length(x)+7]
times <- cumsum(t)
costp <- cos(times)
sintp <- sin(times)
direc <- sign(costp)
direcsin <- sign(sintp)
pred.x <- cx+b.x*costp
pred.y <- cy+direcsin*retention*abs(sintp)^exp(logm)+direc*b.y*abs(costp)^exp(logn)
logloss <- crossprod(y-pred.y[1:length(y)])+crossprod(x-pred.x)
logloss
}
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