LightResponseCurveFitter_computeCost {REddyProc} | R Documentation |
LightResponseCurveFitter computeCost
Description
Computing residual sum of squares for predictions vs. data of NEE
Usage
LightResponseCurveFitter_computeCost(thetaOpt,
theta, iOpt, flux, sdFlux, parameterPrior,
sdParameterPrior, ...)
Arguments
thetaOpt |
parameter vector with components of theta0 that are optimized |
theta |
parameter vector with positions as in argument of
|
iOpt |
position in theta that are optimized |
flux |
numeric: NEP (-NEE) or GPP time series [umolCO2 / m2 / s], should not contain NA |
sdFlux |
numeric: standard deviation of Flux [umolCO2 / m2 / s], should not contain NA |
parameterPrior |
numeric vector along theta: prior estimate of parameter (range of values) |
sdParameterPrior |
standard deviation of parameterPrior |
... |
other arguments to
|
Author(s)
Department for Biogeochemical Integration at MPI-BGC, Jena, Germany <REddyProc-help@bgc-jena.mpg.de> [cph], Thomas Wutzler <twutz@bgc-jena.mpg.de> [aut, cre], Markus Reichstein <mreichstein@bgc-jena.mpg.de> [aut], Antje Maria Moffat <antje.moffat@bgc.mpg.de> [aut, trl], Olaf Menzer <omenzer@bgc-jena.mpg.de> [ctb], Mirco Migliavacca <mmiglia@bgc-jena.mpg.de> [aut], Kerstin Sickel <ksickel@bgc-jena.mpg.de> [ctb, trl], Ladislav <U+0160>igut <sigut.l@czechglobe.cz> [ctb]