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Settings
DynaFit Settings
Listing of initialization file ./system/DynaFit/settings.txt
{DynaFit}
RandomizationSeed = 4357 ; | 0 for system time
DefaultFittingAlgorithm = trust-region ; | marquardt
{ODESolver}
Iterations = 1000
AbsoluteError = 1.e-14
RelativeError = 1.e-8
{TrustRegion}
ConstrainedFit = y
RobustFit = n
EqualizeDatasets = n
AutomaticScaling = n
FixedScaleValue = 1
{Marquardt}
IterationsPerParameter = 100
RestartPerturbation = 0.1
Restarts = 2
RestartsConfidence = 1
RobustFit = n
EqualizeDatasets = n
FixRedundantParameters = y
{ConfidenceIntervals}
LevelPercent = 95
OnlyConstants = n
JointProbability = n
MaxSteps = 30
SquaresIncreasePercent = 0 ; | 10 for continuous assays
{DifferentialEvolution}
PopulationSizeFixed = 0
PopulationSizeMinimal = 1000
PopulationSizePerParameter = 5
PopulationSizePerOrderOfMag = 3
MinimumGenerationsPerParameter = 5
MaximumGenerationsPerParameter = 100
MaximumEvolutions = 6
MinimumEvolutions = 6
RandomSeed = 1234
RootMeanSquareMin = 0
RootMeanSquareMax = 0
OutputTextFileType = csv ; | txt
{Constraints}
Constants = 1000000
Responses = 1000000
Concentrations = 1000
AllParametersConstrained = y
AllParametersRelativeBound = 1000000
{Filter}
XMin = 0
XMax = 0
XShift = 0
XFirstMesh = 0
PointsPerDataset = 0
ExponentialSpacing = n
ReadEveryNthPoint = 0
SkipFirstNPoints = 0
TimeInitialRate = 1
PrintInitialRate = y
SmoothData = n
SmoothingMethod = savitzky-golay ; | average
SavitzkyGolayWindow = 10
SavitzkyGolayDegree = 4
ExtrapolationMethod = quadratic ; | linear
SmoothingPasses = 4
AverageReplicates = n
ZeroBaselineSignal = n
{PieceWiseLinearFit}
Points = 0
Segments = 4
Time = 0
Overlap = n
{Output}
UseDefaultDirectory = y
Autocorrelations = n
ConfidenceBands = n
PredictionBands = n
WriteTXT = n
WriteEPS = y
ColorEPS = y
ResidualsEPS = y
WriteTeX = n
XAxisUnit =
XAxisLabel =
YAxisLabel =
BlackBackground = y
IncludeXZero = n
IncludeYZero = n
InitialRateDigits = 4
StartDefaultBrowser = n
PlotRatesLogarithmic = n
PlotStateLogarithmic = n
SignificantDigits = 2
ResidualRange = 0
{MonteCarlo}
PerformInitialFit = y
Runs = 1000
RandomizationMethod = simulate ; | shuffle | shift
Distribution = normal ; | cauchy | logistic | uniform
StandardDeviationSource = fit ; | data | explicit
StandardDeviation = 1.2
SignificantDigits = 4
HistogramBuckets = 20
TruncateMeanPercent = 5
ColorOutput = y
RandomizationSeed = 1267
ConcentrationErrorPercent = 0
OriginalEstimates = n
ConfidenceLevel = 100
{EstimateScan}
ReportSizeMax = 1000
RefineMarquardt = 10
{ExponentialFit}
Degree = 4
Automatic = y
AllowOscillations = n
TinyAmplitudes = 0 ; or 0.000001
RefineMarquardt = n
{OptimalDesign}
Algorithm = AS ; | DE | BFGS
Function = D ; | T | E | V ; see manual
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