R/AllGenerics.R
, R/methods.R
sracipeConfig.Rd
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)
.object | RacipeSE object |
---|
list
#>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)