return new Parameter.Builder(name, description).scaleType(scaleType).prior(PriorType.EXPONENTIAL_PRIOR)
.initial(initial).mean(mean).offset(offset).isNonNegative(true).build(parameters);
</BUG>
}
<BUG>public Parameter createParameterLognormalPrior(String name, String description, PriorScaleType scaleType, double initial,
double mean, double stdev, double offset, double lower, double upper) {
</BUG>
return new Parameter.Builder(name, description).scaleType(scaleType).prior(PriorType.LOGNORMAL_PRIOR)
<BUG>.initial(initial).mean(mean).stdev(stdev).offset(offset).isNonNegative(true).build(parameters);
}</BUG>
public Parameter createParameterNormalPrior(String name, String description, PriorScaleType scaleType, double initial,

return new Parameter.Builder(name, description).scaleType(scaleType).prior(PriorType.EXPONENTIAL_PRIOR)
.initial(initial).mean(mean).offset(offset).isNonNegative(true).isAdaptiveMultivariateCompatible(amtk).build(parameters);
}
public Parameter createParameterLognormalPrior(String name, String description, PriorScaleType scaleType, double initial,
double mean, double stdev, double offset) {
return createParameterLognormalPrior(name, description, scaleType, initial, mean, stdev, offset, false);
}
public Parameter createParameterLognormalPrior(String name, String description, PriorScaleType scaleType, double initial,
double mean, double stdev, double offset, boolean amtk) {
return new Parameter.Builder(name, description).scaleType(scaleType).prior(PriorType.LOGNORMAL_PRIOR)
.initial(initial).mean(mean).stdev(stdev).offset(offset).isNonNegative(true)
.isAdaptiveMultivariateCompatible(amtk)
.build(parameters);
}
