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

PR:		252176
Approved by:	lwhsu

math/Makefile

@@ -52,6 +52,7 @@
     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

math/R-cran-energy/Makefile

+# $FreeBSD$
+
+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>

math/R-cran-energy/distinfo

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

math/R-cran-energy/pkg-descr

+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