Goal function of fine curve fitting methods

Source: R/f_goal.R

Goal function of fine curve fitting methods

f_goal(par, fun, y, t, pred, w, ylu, ...)

Arguments

par

A vector of parameters
fun

A curve fitting function, can be one of doubleAG, doubleLog.Beck, doubleLog.Elmore, doubleLog.Gu, doubleLog.Klos, doubleLog.Zhang, see Logistic() for details.
y

Numeric vector, vegetation index time-series
t

Numeric vector, Date variable
pred

Numeric Vector, predicted values
w

(optional) Numeric vector, weights of y. If not specified, weights of all NA values will be wmin, the others will be 1.0.
ylu

ymin, ymax, which is used to force ypred in the range of ylu.
...

others will be ignored.

Value

RMSE Root Mean Square Error of curve fitting values.

Examples

library(phenofit)

#> Error in library(phenofit): there is no package called ‘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 time-series
fFUN = doubleLog_Beck
t    <- seq(1, 365, 8)
tout <- seq(1, 365, 1)
y    <- fFUN(par, t)

#> Error in doubleLogMain(`_phenofit_cdoubleLog_Beck`, par, t, pred): object '_phenofit_cdoubleLog_Beck' not found

f_goal(par0, fFUN, y, t)

#> Error in f_goal(par0, fFUN, y, t): object 'y' not found