The hyperparameters like number of models, range from which parameters are to be sampled, simulation time etc.

sracipeConfig(.object)

# S4 method for RacipeSE
sracipeConfig(.object)

Arguments

.object

RacipeSE object

Value

list

Examples

RacipeSet <- RacipeSE() data("demoCircuit") sracipeCircuit(RacipeSet) <- demoCircuit
#> circuit file successfully loaded
sracipeConfig(RacipeSet)
#> $simParams #> numModels simulationTime integrateStepSize printStart #> 2000.00 50.00 0.02 50.00 #> nIC outputPrecision rkTolerance paramRange #> 1.00 12.00 0.01 100.00 #> printInterval #> 10.00 #> #> $stochParams #> nNoise noiseScalingFactor initialNoise scaledNoise #> 0.0 0.5 50.0 0.0 #> shotNoise #> 0.0 #> #> $hyperParams #> prodRateMin prodRateMax degRateMin degRateMax #> 1.0000 100.0000 0.1000 1.0000 #> foldChangeMin foldChangeMax hillCoefMin hillCoefMax #> 1.0000 100.0000 1.0000 6.0000 #> interactionTypes thresholdModels sdFactor #> 3.0000 5000.0000 0.5658 #> #> $options #> anneal scaledNoise genIC genParams integrate #> FALSE FALSE TRUE TRUE TRUE #>
rm(RacipeSet)