Package index • fireSense

All functions
`addHillSlope1ToLedger()`	Insert the fixed `hillSlope1` into the ledger's parameter sets
`bestParamSets()`	The parameter sets the ledger records for this ELF
`crossValidateSpread()`	Two-fold cross-validation of the spread fit
`crossValidateSpreadOneFold()`	One cross-validation fold, run on its own (`heldOutFold`)
`deriveCovMinMax()`	Minimum and maximum of each covariate, for rescaling
`doEvent.fireSense_spreadFit()`	Event dispatcher for fireSense_spreadFit
`.elfSeed()`	A seed that depends only on the ELF
`.inputObjects()`	Default inputs
`estimateSNLLThresholdPostLargeFires()`	Set `mod$thresh`, the SNLL fire-size threshold of the objective function
`estimateSpreadParams()`	Default `upper` or `lower` bounds for DEoptim
`fitAndScoreFold()`	Fit one cross-validation fold's complement and score its held-out years
`fitSpread()`	Fit the spread model
`fuelColumns()`	Names of the fuel biomass columns among the non-annual covariates
`hasPreRunFitForThisPolygon()`	Does the shared ledger already hold a fit for the polygon this run fits?
`histOfCovariates()`	Histograms of the spread-fit covariates
`ledgerWriteFile()`	The ledger file a fit is written to
`makeFitDiagnostics()`	Turn the fit's re-score, profile and simulations into `sim` objects
`pickThreshold()`	The calibrated SNLL threshold: the smallest threshold whose trial did not fail
`runSpreadWithoutDEoptim()`	Evaluate the spread objective function without DEoptim
`spreadFitPrep()`	Prepare the inputs of the fit
`spreadFitValidationFigures()`	Figures comparing a spread fit with its data
`thresholdForks()`	How many forks the threshold self-calibration may use

Reference

All functions