public SEGUninformativeModel(MeasureList measures, UninformativeModelParameters specificParams, McmcParameters mcmcParams = null)
: base(measures, specificParams.LogNormalDstrn, /*new Range(specificParams.MuLower, specificParams.MuUpper, specificParams.InitMu),*/ mcmcParams)
{
this.MuLower = specificParams.MuLower;
this.MuUpper = specificParams.MuUpper;
this.SDRange = specificParams.SDRange;
this.InitMu = specificParams.InitMu;
this.InitSD = specificParams.InitSD;
this.Result = new ModelResult(this, "mu", "sd");
bool testSD = double.IsNaN(this.InitSD) || (this.InitSD == 0);
if (Tools.IsND(this.InitMu) || testSD)
{
InitialValues initVals = WebExpoFunctions3.DefaultInits(this.Data, this.OutcomeIsLogNormallyDistributed, Tools.Combine(this.MuLower, this.MuUpper), this.SDRange, includeCensoredData: false);
if (Tools.IsND(this.InitMu))
{
this.InitMu = initVals.Mu;
}
if (testSD)
{
this.InitSD = initVals.SigmaWithin;
}
}
if (this.ME.ThroughCV)
{
this.Result.Chains.Add("cv");
}
}// end constructor
public static UninformativeModelParameters GetDefaults(bool logNormalDstrn)
{
UninformativeModelParameters p = new UninformativeModelParameters();
p.LogNormalDstrn = logNormalDstrn;
if (p.LogNormalDstrn)
{
p.MuLower = -20;
p.MuUpper = 20;
p.SDRange = Tools.Combine(.095, 2.3);
p.InitMu = -1.2039728043259361; // log(0.3);
p.InitSD = 0.91629073187415511; // log(2.5)
}
else
{
p.MuLower = 40;
p.MuUpper = 125;
p.SDRange = Tools.Combine(.1, 20);
p.InitMu = 85;
p.InitSD = 3;
}
return(p);
}