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Update docstring
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src/strategies/basic.jl

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@@ -38,14 +38,12 @@ can be:
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- one of the distribution *types* in the table below, for automatic fitting
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using `Distributions.fit(d, r)` to a distribution whose support always
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lies between `r.lower` and `r.upper` (for `NumericRange` `r`) or the set
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of probability vectors (for `NominalRange` `r`)
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lies between `r.lower` and `r.upper` (for `NumericRange` `r`)
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- any vector of objects of the above form
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| Range Types | Distribution Types |
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|:----------------------- |:-------------------------------------------------------------------------------------------- |
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| `NominalRange` | `Dirichlet` |
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| Bounded `NumericRange` | `Arcsine`, `Uniform`, `Biweight`, `Cosine`, `Epanechnikov`, `SymTriangularDist`, `Triweight` |
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| Positive `NumericRange` | `Gamma`, `InverseGaussian`, `Poisson` |
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| Any `NumericRange` | `Normal`, `Logistic`, `LogNormal`, `Cauchy`, `Gumbel`, `Laplace` |
@@ -59,7 +57,7 @@ can be:
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range2 = [(range(model, :hyper1, lower=1, upper=10), Arcsine),
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range(model, :hyper2, lower=2, upper=Inf, unit=1, origin=3),
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(range(model, :hyper2, lower=2, upper=4), Normal(0, 3)),
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(range(model, :hyper3, values=[:ball, :tree]), Dirichlet)]
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range(model, :hyper3, values=[:ball, :tree])]
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### Algorithm
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