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dev-haskell/statistics: add 0.16.2.0
Signed-off-by: hololeap <hololeap@protonmail.com> Signed-off-by: Sam James <sam@gentoo.org>
This commit is contained in:
hololeap
Sam James
@@ -1 +1,2 @@
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DIST statistics-0.15.2.0.tar.gz 98424 BLAKE2B 36a1b59e7db9e20ee9960f89794c2222ac8db7fa40f44b166e2d92a501b44d8d5ec06bab96b9e89bb7417852a98890bdf140f3b1a7fb27f0e034490615d84131 SHA512 7afa3e3edb15e02ff59c72601175d25f1a8baeaa1dd8561322e8e26781dbfbfcc03b2ade773269bab027d7399375f01595145fd2e2f252f3e73abc87f9baed41
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DIST statistics-0.16.2.0.tar.gz 107609 BLAKE2B c5a5fe29ec68600ecf5d15855537672432ba09edff26a36387224d1e295cbd6a57a6025b2774f47fd56c9809f4b8b1889bf7aa1240d83eecb4a4d82933ca6223 SHA512 934928e5f8f4f38fe1755a5d16d9a4653401a983d86b2f0fc7f9d4ba90b0b05cf19caec2f4e48874fc7995450a016fa9b45dadc0d6316807fbf19ed75d14c38b
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@@ -5,101 +5,8 @@
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<email>haskell@gentoo.org</email>
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<name>Gentoo Haskell</name>
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</maintainer>
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<longdescription>
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This library provides a number of common functions and types useful
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in statistics. We focus on high performance, numerical robustness,
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and use of good algorithms. Where possible, we provide
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references to the statistical literature.
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The library's facilities can be divided into four broad categories:
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* Working with widely used discrete and continuous probability
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distributions. (There are dozens of exotic distributions in use;
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we focus on the most common.)
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* Computing with sample data: quantile estimation, kernel density
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estimation, histograms, bootstrap methods, significance testing,
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and autocorrelation analysis.
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* Random variate generation under several different distributions.
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* Common statistical tests for significant differences between
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samples.
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Changes in 0.10.0.0:
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* The type classes @Mean@ and @Variance@ are split in two. This is
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required for distributions which do not have finite variance or
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mean.
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* The @S.Sample.KernelDensity@ module has been renamed, and
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completely rewritten to be much more robust. The older module
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oversmoothed multi-modal data. (The older module is still
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available under the name @S.Sample.KernelDensity.Simple@).
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* Histogram computation is added, in @S.Sample.Histogram@.
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* Forward and inverse discrete Fourier and cosine transforms are
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added, in @S.Transform@.
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* Root finding is added, in @S.Math.RootFinding@.
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* The @complCumulative@ function is added to the @Distribution@
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class in order to accurately assess probalities P(X>x) which are
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used in one-tailed tests.
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* A @stdDev@ function is added to the @Variance@ class for
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distributions.
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* The constructor @S.Distribution.normalDistr@ now takes standard
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deviation instead of variance as its parameter.
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* A bug in @S.Quantile.weightedAvg@ is fixed. It produced a wrong
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answer if a sample contained only one element.
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* Bugs in quantile estimations for chi-square and gamma distribution
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are fixed.
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* Integer overlow in @mannWhitneyUCriticalValue@ is fixed. It
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produced incorrect critical values for moderately large
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samples. Something around 20 for 32-bit machines and 40 for 64-bit
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ones.
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* A bug in @mannWhitneyUSignificant@ is fixed. If either sample was
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larger than 20, it produced a completely incorrect answer.
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* One- and two-tailed tests in @S.Tests.NonParametric@ are selected
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with sum types instead of @Bool@.
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* Test results returned as enumeration instead of @Bool@.
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* Performance improvements for Mann-Whitney U and Wilcoxon tests.
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* Module @S.Tests.NonParamtric@ is split into @S.Tests.MannWhitneyU@
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and @S.Tests.WilcoxonT@
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* @sortBy@ is added to @S.Function@.
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* Mean and variance for gamma distribution are fixed.
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* Much faster cumulative probablity functions for Poisson and
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hypergeometric distributions.
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* Better density functions for gamma and Poisson distributions.
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* Student-T, Fisher-Snedecor F-distributions and Cauchy-Lorentz
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distrbution are added.
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* The function @S.Function.create@ is removed. Use @generateM@ from
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the @vector@ package instead.
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* Function to perform approximate comparion of doubles is added to
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@S.Function.Comparison@
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* Regularized incomplete beta function and its inverse are added to
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@S.Function@.
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</longdescription>
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<upstream>
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<remote-id type="github">bos/statistics</remote-id>
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<remote-id type="hackage">statistics</remote-id>
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<remote-id type="github">haskell/statistics</remote-id>
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</upstream>
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</pkgmetadata>
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44
dev-haskell/statistics/statistics-0.16.2.0.ebuild
Normal file
44
dev-haskell/statistics/statistics-0.16.2.0.ebuild
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@@ -0,0 +1,44 @@
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# Copyright 1999-2023 Gentoo Authors
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# Distributed under the terms of the GNU General Public License v2
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EAPI=8
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# ebuild generated by hackport 0.8.4.0.9999
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CABAL_FEATURES="lib profile haddock hoogle hscolour test-suite"
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inherit haskell-cabal
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DESCRIPTION="A library of statistical types, data, and functions"
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HOMEPAGE="https://github.com/haskell/statistics"
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LICENSE="BSD-2"
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SLOT="0/${PV}"
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KEYWORDS="~amd64 ~arm64 ~ppc64 ~riscv ~x86"
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RESTRICT=test # likes to fail under a load
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RDEPEND=">=dev-haskell/aeson-0.6.0.0:=[profile?]
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>=dev-haskell/async-2.2.2:=[profile?] <dev-haskell/async-2.3:=[profile?]
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>=dev-haskell/data-default-class-0.1.2:=[profile?]
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>=dev-haskell/dense-linear-algebra-0.1:=[profile?] <dev-haskell/dense-linear-algebra-0.2:=[profile?]
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>=dev-haskell/math-functions-0.3.4.1:=[profile?]
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>=dev-haskell/mwc-random-0.15.0.0:=[profile?]
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>=dev-haskell/parallel-3.2.2.0:=[profile?] <dev-haskell/parallel-3.3:=[profile?]
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>=dev-haskell/primitive-0.3:=[profile?]
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>=dev-haskell/random-1.2:=[profile?]
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>=dev-haskell/vector-0.10:=[profile?]
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>=dev-haskell/vector-algorithms-0.4:=[profile?]
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>=dev-haskell/vector-binary-instances-0.2.1:=[profile?]
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dev-haskell/vector-th-unbox:=[profile?]
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>=dev-lang/ghc-8.8.1:=
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"
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DEPEND="${RDEPEND}
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>=dev-haskell/cabal-3.0.0.0
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test? ( dev-haskell/erf
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>=dev-haskell/ieee754-0.7.3
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>=dev-haskell/quickcheck-2.7.5
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dev-haskell/tasty
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dev-haskell/tasty-expected-failure
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dev-haskell/tasty-hunit
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dev-haskell/tasty-quickcheck )
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"
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