LightResponseCurveFitter_optimLRCOnAdjustedPrior.RdLower bound flux uncertainty and adjust prior uncertainty before calling optimLRC
LightResponseCurveFitter_optimLRCOnAdjustedPrior(theta,
iOpt, dsDay, parameterPrior, ctrl, ...)numeric vector of starting values
integer vector: positions of subset of parameters that are optimized
dataframe of NEE, sdNEE and predictors Rg, VPD and Temp
numeric vector of prior parameter estimates (corresponding to theta) # TODO rename to thetaPrior
list of further controls
further arguments to
LightResponseCurveFitter_optimLRC
(passed to LightResponseCurveFitter_computeCost)
Only those records are used for optimization where both NEE and sdNEE are finite. In larger settings, already filtered at
Optimization of LRC parameters takes into account the uncertainty
of the flux values. In order to avoid very strong leverage, values with a
very low uncertainty (< a lower quantile) are assigned the lower quantile is
assigned. This procedure downweighs records with a high uncertainty, but does
not apply a large leverage for records with a very low uncertainty. Avoid
this correction by setting ctrl$isBoundLowerNEEUncertainty =
FALSE
The uncertainty of the prior, that maybe derived from fluxes) is allowed to
adapt to the uncertainty of the fluxes.
This is done in link{LightResponseCurveFitter_getPriorScale}
result of LightResponseCurveFitter_optimLRC with
items theta, iOpt and convergence