mvhg
A Python C++ extension for sampling hypergeometric and multivariate hypergeometric distributions using the Rejection-Inversion for Log Concave Distributions (RILC) Algorithm [1-2].
Installation
From PyPI
pip install mvhg
From Source
To build and install mvhg locally, clone the repository and install via pip:
git clone https://github.com/spsvihla/mvhg.git
cd mvhg
pip install .
Note: Requires a C++17-compatible compiler, CMake (>= 3.15), and scikit-build-core.
References
- Hörmann, W. A universal generator for discrete log-concave distributions. Computing 52, 89–96 (1994).
- Hörmann, W. & Derflinger, G. Rejection-inversion to generate variates from monotone discrete distributions. ACM Trans. Model. Comput. Simul. 6, 169–184 (1996).
License
Distributed under the MIT License.
1 maintainer
Metadata
1 maintainer
Release files for mvhg 1.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
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Built distributions (wheels)
Total release size: 1.6 MB
Release files / mvhg-1.0.1.tar.gz
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