likelihood_functions: Likelihood functions

In dream: DiffeRential Evolution Adaptive Metropolis

Description

Calculates likelihood or log likelihood given predicted and observed values

Usage

calc.rmse(predicted, observed, control = list(gamma = 0))
calc.weighted.rmse(predicted, observed, control = list(gamma = 0))
calc.loglik(predicted, observed, control = list(gamma = 0))

Arguments

predicted	output of model
observed	observed values expected, to compare with output of model
control	list of options

Details

calc.rmse is the default for dreamCalibrate but it is recommended to use an objective function better suited to the particular problem

• Sigma-weighted RMSE log likelihood function

• Calculate log RMSE using formulas used by Vrugt

Value

log-likelihood

dream documentation built on May 2, 2019, 5:21 p.m.