LRC_getPriorScale

LRC_getPriorScale

LRC_getPriorScale(thetaPrior, medianRelFluxUncertainty, nRec, ctrl)

Arguments

thetaPrior

numeric vector of location of priors

medianRelFluxUncertainty

numeric scalar: median across the relative uncertainty of the flux values, i.e. sdNEE / NEE

nRec

integer scalar: number of finite observations

ctrl

list of further controls, with entry isLasslopPriorsApplied

Value

a numeric vector with prior estimates of the parameters

Details

The beta parameter is quite well defined. Hence use a prior with a standard deviation. The specific results are sometimes a bit sensitive to the uncertainty of the beta prior.

This uncertainty is set corresponding to 20 times the median relative flux uncertainty. The prior is weighted n times the observations in the cost. Hence, overall it is using a weight of 1 / 20 of the weight of all observations.

However, its not well defined if PAR does not reach saturation. Need to check before applying this prior