Insert the fixed hillSlope1 into the ledger's parameter sets

hillSlope1 (the spread link's slope) is fixed at 1, not fitted (see estimateSpreadParams()): it is not identifiable together with the covariate coefficients, so it is no longer part of DEoptim's parameter space, and paramsBest (from bestParamSets()) does not include it either. fireSense_spreadPredict splits a ledger row's parameters from its covariates BY NAME, and the spread link (fireSenseUtils::logistic3p()/logistic3pUpper()) reads the result BY POSITION – maxAsymptote, hillSlope1, inflectionPoint1, and (with the upper-tail link) upperTail1. This restores that position for new fits, so a new ledger row predicts with hillSlope1 = 1 exactly like an old row whose hillSlope1 happened to be fitted at that value, and an old row keeps predicting with its own fitted value.

addHillSlope1ToLedger(paramsBest)

Arguments

paramsBest

a data.table, one row per parameter set, as bestParamSets()$params returns it: columns named names(P(sim)$lower), so without hillSlope1, maxAsymptote first.

Value

paramsBest with a hillSlope1 column of 1s inserted right after maxAsymptote.