# inverse Logistic Model
#
# inverse Logistic Model
#
# expression : xmid - scal * log((Asym / input) - 1)
#
# @param input numeric vector of data values
# @param parms numeric vector, parameters with given names: "Asym", "xmid",
# "scal"
# @seealso \code{\link{SSlogis}}
# @references Jose Pinheiro and Douglas Bates
# @keywords math
# @examples
#
# x <- seq(0.1,1,length=20)
# y <- modelfunction_sigmoid_inverse(input = x, parms = c(Asym = 2, xmid = 0.2,
# scal = 0.3) )
# plot(x,y)
#
modelfunction_sigmoid_inverse <- function(input, parms) {
subfun <- function(input) {
exp1 <- (parms["Asym"] / input) - 1
if (exp1[1] <= 0 | is.na(exp1[1])) {
return(NA)
} else {
return(parms["xmid"] - parms["scal"] * log((parms["Asym"] / input) - 1))
}
}
return(vapply(input, subfun, numeric(1)))
}
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