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Available constraints

The following sampling constraints are available:

# UncertainData.SamplingConstraints.TruncateStd — Type.

1	TruncateStd(nσ::Int)

A constraint indicating that the distribution furnishing an uncertain value should be truncated at nσ (n standard deviations).

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# UncertainData.SamplingConstraints.TruncateMinimum — Type.

1	TruncateMinimum(min::Number)

A constraint indicating that the distribution furnishing an uncertain value should be truncated below at some specified minimum value.

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# UncertainData.SamplingConstraints.TruncateMaximum — Type.

1	TruncateMaximum(max::Number)

A constraint indicating that the distribution furnishing an uncertain value should be truncated above at some specified maximum value.

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# UncertainData.SamplingConstraints.TruncateRange — Type.

1	TruncateRange(min::Number, max::Number)

A constraint indicating that the distribution furnishing an uncertain value should be truncated at some range [min, max].

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# UncertainData.SamplingConstraints.TruncateLowerQuantile — Type.

1	TruncateLowerQuantile(lower_quantile::Float64)

A constraint indicating that the distribution furnishing an uncertain value should be truncated below at some quantile.

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# UncertainData.SamplingConstraints.TruncateUpperQuantile — Type.

1	TruncateUpperQuantile(upper_quantile::Float64)

A constraint indicating that the distribution furnishing an uncertain value should be truncated above at some quantile.

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# UncertainData.SamplingConstraints.TruncateQuantiles — Type.

1	TruncateQuantiles(lower_quantile::Float64, upper_quantile::Float64)

A constraint indicating that the distribution furnishing an uncertain value should be truncated at some quantile quantile (lower_quantile, upper_quantile).

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