Optimize parameters with refitting with some fixed parameters if outside bounds — LRC_optimLRCBounds • REddyProc

Optimize parameters with refitting with some fixed parameters if outside bounds

LRC_optimLRCBounds(
  theta0,
  parameterPrior,
  ...,
  dsDay,
  lastGoodParameters,
  ctrl
)

Arguments

theta0: numeric vector of initial parameter estimate
parameterPrior: numeric vector of prior estimate of model parameters
...: further parameters to .optimLRC
dsDay: dataframe of NEE, sdNEE and predictors Rg, VPD and Temp
lastGoodParameters: numeric vector of last successful fit
ctrl: list of further controls, such as isNeglectVPDEffect = TRUE

Value

list of result of LRC_optimLRCOnAdjustedPrior()

theta: vector of optimized parameters
iOpt: vector of positions of parameters that are optimized
thetaInitialGuess: initial guess from data see LRC_fitLRC()

Details

If parameters alpha or k are outside bounds (Table A1 in Lasslop 2010), refit with some parameters fixed to values from fit of previous window.

See also