estimateNLLStable: estimateNLLStable
In tbep-tech/tbepRSparrow: RSPARROW: An R system for SPARROW modeling

Outputs all model performance and other summary metrics and diagnostics for the estimated model for calibration and validates sites to the ~/estimate/(run_id)_summary.txt file.

Executed By: estimate.R
Executes Routines: unPackList.R

estimateNLLStable(file.output.list, if_estimate, if_estimate_simulation,
  ifHess, if_sparrowEsts, classvar, sitedata, numsites, ANOVA.list,
  JacobResults, HesResults, sparrowEsts, Mdiagnostics.list,
  Cor.ExplanVars.list, if_validate, vANOVA.list, vMdiagnostics.list,
  betavalues, Csites.weights.list)

`if_estimate`	yes/no indicating whether or not estimation is run
`if_estimate_simulation`	character string setting from sparrow_control.R indicating whether estimation should be run in simulation mode only.
`ifHess`	yes/no indicating whether second-order Hessian standard errors should be computed
`if_sparrowEsts`	value of 1 `if_estimate_simulation<-'no'` indicating calculation of Jacobian diagnostics and 0 `if_estimate_simulation<-'yes'` indicating no calculation of Jacobian diagnostics
`classvar`	character vector of user specified spatially contiguous discrete classification variables from sparrow_control. First element is reach classification variable.
`sitedata`	Sites selected for calibration using `subdata[(subdata$depvar > 0), ]`
`numsites`	number of sites selected for calibration
`JacobResults`	list output of Jacobian first-order partial derivatives of the model residuals `estimateNLLSmetrics.R` contained in the estimate.list object. For more details see documentation Section 5.2.4.5.
`HesResults`	list output of Hessian second-order standard errors `estimateNLLSmetrics.R` contained in the estimate.list object. For more details see documentation Section 5.2.4.6
`sparrowEsts`	list object contained in estimate.list `if_estimate<-'yes'`. For more details see documentation Section 5.2.4.4.
`if_validate`	yes/no indicating whether or not validation is run
`betavalues`	data.frame of model parameters from parameters.csv