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chi2comb

Travis AppVeyor

This package estimates cumulative density functions of linear combinations of independent noncentral χ² random variables and a standard Normal distribution. Formally, it estimates P[Q<q], where:

Q = λ₁X₁ + ... + λₙXₙ + σX₀.

Xᵢ (𝚒≠𝟶) is an independent random variable following a noncentral χ² distribution with nᵢ degrees of freedom and noncentrality parameter λᵢ. X₀ is an independent random variable having a standard Normal distribution.

Install

It can be installed using the pip command

pip install chi2comb

Usage

Consider the following linear combination of four random variables:

Q = 6⋅X₁ + 3⋅X₂ + 1⋅X₃ + 2⋅X₀,

where X₁, X₂, and X₃ are noncentral χ² random variables having degrees of freedom n₁=n₂=1 and n₃=2 and noncentrality parameters λ₁=0.5 and λ₂=λ₃=0. Let us estimate P[Q<1]:

>>> from chi2comb import chi2comb_cdf, ChiSquared
>>>
>>> gcoef = 2
>>> ncents = [0.5, 0, 0]
>>> q = 1
>>> dofs = [1, 1, 2]
>>> coefs = [6, 3, 1]
>>> chi2s = [ChiSquared(coefs[i], ncents[i], dofs[i]) for i in range(3)]
>>> result, errno, info = chi2comb_cdf(q, chi2s, gcoef)
>>> result
0.050870657088644244
>>> errno
0
>>> info
Info(emag=0.6430413191446991, niterms=43, nints=1, intv=0.03462571527167856, truc=1.4608856930426104, sd=0.0, ncycles=21)

The estimated value is P[Q<1] ≈ 0.0587.

Problems

If you encounter any issue, please, submit it.

Authors

License

This project is licensed under the MIT License.

Release files for chi2comb 0.1.0

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Source distribution for chi2comb 0.1.0
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Table of built distributions (wheels) for chi2comb 0.1.0
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chi2comb-0.1.0-cp39-cp39-win_amd64.whl CPython 3.9 CPython 3.9 Windows x86-64 Details
chi2comb-0.1.0-cp39-cp39-manylinux2010_x86_64.whl CPython 3.9 CPython 3.9 Linux glibc 2.12+ x86-64 Details
chi2comb-0.1.0-cp39-cp39-manylinux2010_i686.whl CPython 3.9 CPython 3.9 Linux glibc 2.12+ x86-32 Details
chi2comb-0.1.0-cp39-cp39-manylinux1_x86_64.whl CPython 3.9 CPython 3.9 Linux glibc 2.5+ x86-64 Details
chi2comb-0.1.0-cp39-cp39-manylinux1_i686.whl CPython 3.9 CPython 3.9 Linux glibc 2.5+ x86-32 Details
chi2comb-0.1.0-cp39-cp39-macosx_10_9_x86_64.whl CPython 3.9 CPython 3.9 macOS 10.9+ x86-64 Details
chi2comb-0.1.0-cp38-cp38-win_amd64.whl CPython 3.8 CPython 3.8 Windows x86-64 Details
chi2comb-0.1.0-cp38-cp38-manylinux2010_x86_64.whl CPython 3.8 CPython 3.8 Linux glibc 2.12+ x86-64 Details
chi2comb-0.1.0-cp38-cp38-manylinux2010_i686.whl CPython 3.8 CPython 3.8 Linux glibc 2.12+ x86-32 Details
chi2comb-0.1.0-cp38-cp38-manylinux1_x86_64.whl CPython 3.8 CPython 3.8 Linux glibc 2.5+ x86-64 Details
chi2comb-0.1.0-cp38-cp38-manylinux1_i686.whl CPython 3.8 CPython 3.8 Linux glibc 2.5+ x86-32 Details
chi2comb-0.1.0-cp38-cp38-macosx_10_9_x86_64.whl CPython 3.8 CPython 3.8 macOS 10.9+ x86-64 Details
chi2comb-0.1.0-cp37-cp37m-win_amd64.whl CPython 3.7 CPython 3.7 pymalloc Windows x86-64 Details
chi2comb-0.1.0-cp37-cp37m-manylinux2010_x86_64.whl CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.12+ x86-64 Details
chi2comb-0.1.0-cp37-cp37m-manylinux2010_i686.whl CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.12+ x86-32 Details
chi2comb-0.1.0-cp37-cp37m-manylinux1_x86_64.whl CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.5+ x86-64 Details
chi2comb-0.1.0-cp37-cp37m-manylinux1_i686.whl CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.5+ x86-32 Details
chi2comb-0.1.0-cp37-cp37m-macosx_10_9_x86_64.whl CPython 3.7 CPython 3.7 pymalloc macOS 10.9+ x86-64 Details
chi2comb-0.1.0-cp36-cp36m-win_amd64.whl CPython 3.6 CPython 3.6 pymalloc Windows x86-64 Details
chi2comb-0.1.0-cp36-cp36m-manylinux2010_x86_64.whl CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.12+ x86-64 Details
chi2comb-0.1.0-cp36-cp36m-manylinux2010_i686.whl CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.12+ x86-32 Details
chi2comb-0.1.0-cp36-cp36m-manylinux1_x86_64.whl CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.5+ x86-64 Details
chi2comb-0.1.0-cp36-cp36m-manylinux1_i686.whl CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.5+ x86-32 Details
chi2comb-0.1.0-cp36-cp36m-macosx_10_9_x86_64.whl CPython 3.6 CPython 3.6 pymalloc macOS 10.9+ x86-64 Details

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This release

0.1.0 This release

25 release files

0.0.4

9 release files

0.0.3

9 release files

0.0.2

10 release files

0.0.1

8 release files

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