new port: math/R-cran-energy: E-Statistics: Multivariate Inference via the Energy of Data

PR:		252176
Approved by:	lwhsu
This commit is contained in:
Guangyuan Yang 2020-12-28 00:17:23 +00:00
parent 0032c9e49b
commit eb256aa5ef
Notes: svn2git 2021-03-31 03:12:20 +00:00
svn path=/head/; revision=559437
4 changed files with 31 additions and 0 deletions

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SUBDIR += R-cran-dimRed
SUBDIR += R-cran-dlmodeler
SUBDIR += R-cran-dplyr
SUBDIR += R-cran-energy
SUBDIR += R-cran-expm
SUBDIR += R-cran-forcats
SUBDIR += R-cran-forecast

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# $FreeBSD$
PORTNAME= energy
DISTVERSION= 1.7-7
CATEGORIES= math
DISTNAME= ${PORTNAME}_${DISTVERSION}
MAINTAINER= ygy@FreeBSD.org
COMMENT= E-Statistics: Multivariate Inference via the Energy of Data
LICENSE= GPLv2+
RUN_DEPENDS= R-cran-Rcpp>=0.12.6:devel/R-cran-Rcpp
USES= cran:auto-plist,compiles
.include <bsd.port.mk>

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TIMESTAMP = 1609019150
SHA256 (energy_1.7-7.tar.gz) = 67b88fb33ee6e7bec2e4fe356a4efd36f70c3cf9b0ebe2f6d9da9ec96de9968f
SIZE (energy_1.7-7.tar.gz) = 55273

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E-statistics (energy) tests and statistics for multivariate and univariate
inference, including distance correlation, one-sample, two-sample, and
multi-sample tests for comparing multivariate distributions, are implemented.
Measuring and testing multivariate independence based on distance correlation,
partial distance correlation, multivariate goodness-of-fit tests, k-groups and
hierarchical clustering based on energy distance, testing for multivariate
normality, distance components (disco) for non-parametric analysis of
structured data, and other energy statistics/methods are implemented.
WWW: https://github.com/mariarizzo/energy