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authorSharlatan Hellseher <sharlatanus@gmail.com>2025-11-14 13:25:44 +0000
committerSharlatan Hellseher <sharlatanus@gmail.com>2025-11-30 23:49:02 +0000
commit89008ad84cbadb9fd1bcae569bb37615e35856bd (patch)
treef23177243c1fb5ab1f7a516308f5ef3cb81ac6a5 /gnu/packages
parent2995fa0c0e3adb46f20fc2201e4551a825ddc13c (diff)
gnu: Add python-fgivenx.
* gnu/packages/python-science.scm (python-fgivenx): New variable. Change-Id: I2f3d49e5340b803616618628439df6889c86fc61
Diffstat (limited to 'gnu/packages')
-rw-r--r--gnu/packages/python-science.scm44
1 files changed, 44 insertions, 0 deletions
diff --git a/gnu/packages/python-science.scm b/gnu/packages/python-science.scm
index e064afb7ce6..08d7f15bc82 100644
--- a/gnu/packages/python-science.scm
+++ b/gnu/packages/python-science.scm
@@ -1421,6 +1421,50 @@ clustering schemes efficiently. The package is made with two interfaces to
standard software: R and Python.")
(license license:bsd-2)))
+(define-public python-fgivenx
+ (package
+ (name "python-fgivenx")
+ (version "2.4.2")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (pypi-uri "fgivenx" version))
+ (sha256
+ (base32 "1ji6fqxsxmp58yvc16r41wjakgnw710gwhwviyi6q42bfj9lag6z"))))
+ (build-system pyproject-build-system)
+ (arguments
+ (list
+ ;; tests: 24 passed, 1 deselected, 167578 warnings
+ #:test-flags
+ ;; AttributeError: 'GrouperView' object has no attribute 'join'
+ #~(list "--deselect=fgivenx/test/test_drivers.py::test_plotting")))
+ (native-inputs
+ (list python-pytest
+ python-pytest-mpl
+ python-setuptools))
+ (propagated-inputs
+ (list python-getdist
+ python-matplotlib
+ python-joblib
+ python-numpy
+ python-scipy
+ python-tqdm))
+ (home-page "https://github.com/fgivenx/fgivenx")
+ (synopsis "Functional Posterior Plotter")
+ (description
+ "@code{fgivenx} is a Python package for plotting posteriors of functions.
+It is currently used in astronomy, but will be of use to any scientists
+performing Bayesian analyses which have predictive posteriors that are
+functions.
+
+This package allows one to plot a predictive posterior of a function,
+dependent on sampled parameters. It assumes one has a Bayesian posterior
+@code{Post(theta|D,M)} described by a set of posterior samples
+@code{{theta_i}~Post}. If there is a function parameterised by theta
+@code{y=f(x;theta)}, then this script will produce a contour plot of the
+conditional posterior @code{P(y|x,D,M)} in the @code{(x,y)} plane.")
+ (license license:expat)))
+
(define-public python-formulaic
(package
(name "python-formulaic")