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| author | Guangyuan Yang <ygy@FreeBSD.org> | 2020-12-28 00:17:23 +0000 |
|---|---|---|
| committer | Guangyuan Yang <ygy@FreeBSD.org> | 2020-12-28 00:17:23 +0000 |
| commit | eb256aa5ef5e38f717c2dad2564ded36d1b8ba50 (patch) | |
| tree | 09377b779b102f3533c0a7fdf45d06f13cf9f9b5 /math/R-cran-energy | |
| parent | 0032c9e49bb988d0cf63fe4be94b66effc4da458 (diff) | |
| download | ports-eb256aa5ef5e38f717c2dad2564ded36d1b8ba50.tar.gz ports-eb256aa5ef5e38f717c2dad2564ded36d1b8ba50.zip | |
new port: math/R-cran-energy: E-Statistics: Multivariate Inference via the Energy of Data
PR: 252176
Approved by: lwhsu
Notes
Notes:
svn path=/head/; revision=559437
Diffstat (limited to 'math/R-cran-energy')
| -rw-r--r-- | math/R-cran-energy/Makefile | 17 | ||||
| -rw-r--r-- | math/R-cran-energy/distinfo | 3 | ||||
| -rw-r--r-- | math/R-cran-energy/pkg-descr | 10 |
3 files changed, 30 insertions, 0 deletions
diff --git a/math/R-cran-energy/Makefile b/math/R-cran-energy/Makefile new file mode 100644 index 000000000000..c18e0850b97c --- /dev/null +++ b/math/R-cran-energy/Makefile @@ -0,0 +1,17 @@ +# $FreeBSD$ + +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> diff --git a/math/R-cran-energy/distinfo b/math/R-cran-energy/distinfo new file mode 100644 index 000000000000..0f982916514e --- /dev/null +++ b/math/R-cran-energy/distinfo @@ -0,0 +1,3 @@ +TIMESTAMP = 1609019150 +SHA256 (energy_1.7-7.tar.gz) = 67b88fb33ee6e7bec2e4fe356a4efd36f70c3cf9b0ebe2f6d9da9ec96de9968f +SIZE (energy_1.7-7.tar.gz) = 55273 diff --git a/math/R-cran-energy/pkg-descr b/math/R-cran-energy/pkg-descr new file mode 100644 index 000000000000..47033cf7facb --- /dev/null +++ b/math/R-cran-energy/pkg-descr @@ -0,0 +1,10 @@ +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 |