new port: math/R-cran-energy: E-Statistics: Multivariate Inference via the Energy of Data
PR: 252176 Approved by: lwhsu
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svn2git
2021-03-31 03:12:20 +00:00
svn path=/head/; revision=559437
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SUBDIR += R-cran-dimRed
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SUBDIR += R-cran-dlmodeler
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SUBDIR += R-cran-dplyr
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SUBDIR += R-cran-energy
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SUBDIR += R-cran-expm
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SUBDIR += R-cran-forcats
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SUBDIR += R-cran-forecast
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math/R-cran-energy/Makefile
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math/R-cran-energy/Makefile
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# $FreeBSD$
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PORTNAME= energy
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DISTVERSION= 1.7-7
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CATEGORIES= math
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DISTNAME= ${PORTNAME}_${DISTVERSION}
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MAINTAINER= ygy@FreeBSD.org
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COMMENT= E-Statistics: Multivariate Inference via the Energy of Data
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LICENSE= GPLv2+
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RUN_DEPENDS= R-cran-Rcpp>=0.12.6:devel/R-cran-Rcpp
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USES= cran:auto-plist,compiles
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.include <bsd.port.mk>
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math/R-cran-energy/distinfo
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math/R-cran-energy/distinfo
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TIMESTAMP = 1609019150
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SHA256 (energy_1.7-7.tar.gz) = 67b88fb33ee6e7bec2e4fe356a4efd36f70c3cf9b0ebe2f6d9da9ec96de9968f
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SIZE (energy_1.7-7.tar.gz) = 55273
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math/R-cran-energy/pkg-descr
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math/R-cran-energy/pkg-descr
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E-statistics (energy) tests and statistics for multivariate and univariate
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inference, including distance correlation, one-sample, two-sample, and
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multi-sample tests for comparing multivariate distributions, are implemented.
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Measuring and testing multivariate independence based on distance correlation,
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partial distance correlation, multivariate goodness-of-fit tests, k-groups and
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hierarchical clustering based on energy distance, testing for multivariate
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normality, distance components (disco) for non-parametric analysis of
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structured data, and other energy statistics/methods are implemented.
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WWW: https://github.com/mariarizzo/energy
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