phenofit (version 0.2.5-2)

f_goal: Goal function of fine curve fitting methods

Description

Goal function of fine curve fitting methods

Usage

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

Arguments

par

A vector of parameters

y

Numeric vector, vegetation index time-series

t

Numeric vector, Date variable

fun

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

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

# NOT RUN {
library(phenofit)
# simulate vegetation time-series
fFUN = doubleLog.Beck
par  = c(
    mn  = 0.1,
    mx  = 0.7,
    sos = 50,
    rsp = 0.1,
    eos = 250,
    rau = 0.1)
t    <- seq(1, 365, 8)
tout <- seq(1, 365, 1)
y <- fFUN(par, t)

par0 <- c(
    mn  = 0.15,
    mx  = 0.65,
    sos = 100,
    rsp = 0.12,
    eos = 200,
    rau = 0.12)
f_goal(par0, y, t, fFUN)
# }