f_goal  R Documentation 
Goal function of fine curve fitting methods
f_goal(par, fun, y, t, pred, w, ylu, ...)
par 
A vector of parameters 
fun 
A curve fitting function, can be one of 
y 
Numeric vector, vegetation index timeseries 
t 
Numeric vector, 
pred 
Numeric Vector, predicted values 
w 
(optional) Numeric vector, weights of 
ylu 

... 
others will be ignored. 
RMSE Root Mean Square Error of curve fitting values.
library(phenofit)
par = c( mn = 0.1 , mx = 0.7 , sos = 50 , rsp = 0.1 , eos = 250, rau = 0.1)
par0 = c( mn = 0.15, mx = 0.65, sos = 100, rsp = 0.12, eos = 200, rau = 0.12)
# simulate vegetation timeseries
fFUN = doubleLog_Beck
t < seq(1, 365, 8)
tout < seq(1, 365, 1)
y < fFUN(par, t)
f_goal(par0, fFUN, y, t)
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