Description Usage Arguments Value References See Also Examples
Goodness-of-fitting (GOF) of fine curve fitting results.
1 2 3 | get_GOF(fit)
get_GOF.fFITs(fFITs)
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fit |
Object returned by |
fFITs |
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meth
: The name of fine curve fitting method
RMSE
: Root Mean Square Error
NSE
: Nash-Sutcliffe model efficiency coefficient
R
: Pearson-Correlation
pvalue
: pvalue of R
n
: The number of observations
https://en.wikipedia.org/wiki/Nash-Sutcliffe_model_efficiency_coefficient
https://en.wikipedia.org/wiki/Pearson_correlation_coefficient
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | 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)
methods <- c("AG", "Beck", "Elmore", "Gu", "Zhang") # "Klos" too slow
fFITs <- curvefit(y, t, tout, methods)
# multiple years
fits <- list(`2001` = fFITs, `2002` = fFITs)
l_param <- get_param(fits)
d_GOF <- get_GOF(fits)
d_fitting <- get_fitting(fits)
l_pheno <- get_pheno(fits, "AG", IsPlot=TRUE)
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