74 lines
1.9 KiB
Python
74 lines
1.9 KiB
Python
"""
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======================================================
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Random Number Generators (:mod:`scipy.stats.sampling`)
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======================================================
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.. currentmodule:: scipy.stats.sampling
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This module contains a collection of random number generators to sample
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from univariate continuous and discrete distributions. It uses the
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implementation of a C library called "UNU.RAN". The only exception is
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RatioUniforms, which is a pure Python implementation of the
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Ratio-of-Uniforms method.
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Generators Wrapped
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==================
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For continuous distributions
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----------------------------
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.. autosummary::
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:toctree: generated/
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NumericalInverseHermite
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NumericalInversePolynomial
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TransformedDensityRejection
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SimpleRatioUniforms
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RatioUniforms
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For discrete distributions
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--------------------------
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.. autosummary::
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:toctree: generated/
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DiscreteAliasUrn
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DiscreteGuideTable
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Warnings / Errors used in :mod:`scipy.stats.sampling`
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-----------------------------------------------------
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.. autosummary::
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:toctree: generated/
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UNURANError
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Generators for pre-defined distributions
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========================================
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To easily apply the above methods for some of the continuous distributions
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in :mod:`scipy.stats`, the following functionality can be used:
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.. autosummary::
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:toctree: generated/
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FastGeneratorInversion
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"""
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from ._sampling import FastGeneratorInversion, RatioUniforms # noqa: F401
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from ._unuran.unuran_wrapper import ( # noqa: F401
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TransformedDensityRejection,
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DiscreteAliasUrn,
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DiscreteGuideTable,
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NumericalInversePolynomial,
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NumericalInverseHermite,
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SimpleRatioUniforms,
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UNURANError
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)
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__all__ = ["NumericalInverseHermite", "NumericalInversePolynomial",
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"TransformedDensityRejection", "SimpleRatioUniforms",
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"RatioUniforms", "DiscreteAliasUrn", "DiscreteGuideTable",
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"UNURANError", "FastGeneratorInversion"]
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