Given your starting values, there is nothing to optimize:
f - function(x, A=10, b=152, T=100, c=100) A*(1-exp(-b*(x-T) -
c*(sqrt(x) - sqrt(T
f(time)
[1] -Inf -Inf -Inf -Inf -Inf -Inf -Inf -Inf -Inf -Inf -Inf -Inf -Inf
-Inf -Inf
[16] -Inf -Inf -Inf -Inf -Inf -Inf -Inf -Inf -Inf -Inf -Inf
Hi,
I need fit the France model :
y = A{1 - exp[-b(t-T) - c(sqrt(t) - sqrt(T))]}
parameters: A, b, T, c
variable: t (time)
resp: y
I tried:
time = 1:48
resp = rnorm(48, 200, 10)
dados = data.frame(resp, time)
attach(dados)
f = function(x, A, b, T, c)
A*(1-exp(-b*(x-T) - c*(sqrt(x) -
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