#Chapman–Richards 3 S = a [1 − exp(−bA)]c Flather (1996)
#note there was an error in our original formula (corrected
#Nov 2020)
model <- list(
name = c("Chapman Richards"),
formula = expression(S == d * (1 - exp(-z*A))^c),
exp = expression(d * (1 - exp(-z*A))^c),
shape = "sigmoid",
asymp = function(pars)pars["d"],
#limits for parameters
parLim = c("Rplus","R","R"),
#initials values function
init = function(data){
d=max(data$S)
Z=(-log((-data$S/(max(data$S)+1))+1))/data$A
z = mean(Z)
c(d,z,0.5)}
)
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