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| author | TAKATSU Tomonari <tota@FreeBSD.org> | 2020-01-09 16:59:25 +0000 |
|---|---|---|
| committer | TAKATSU Tomonari <tota@FreeBSD.org> | 2020-01-09 16:59:25 +0000 |
| commit | fe44429cb4b21ec44857e9add4ffe78b13de2d60 (patch) | |
| tree | a3f67ee3877927c37f0d9eaf48482282b53ccbba /graphics/R-cran-pROC | |
| parent | 34506c3888af23944c86ed23b40d1a7be42130f2 (diff) | |
| download | ports-fe44429cb4b21ec44857e9add4ffe78b13de2d60.tar.gz ports-fe44429cb4b21ec44857e9add4ffe78b13de2d60.zip | |
Notes
Diffstat (limited to 'graphics/R-cran-pROC')
| -rw-r--r-- | graphics/R-cran-pROC/Makefile | 20 | ||||
| -rw-r--r-- | graphics/R-cran-pROC/distinfo | 3 | ||||
| -rw-r--r-- | graphics/R-cran-pROC/pkg-descr | 7 |
3 files changed, 30 insertions, 0 deletions
diff --git a/graphics/R-cran-pROC/Makefile b/graphics/R-cran-pROC/Makefile new file mode 100644 index 000000000000..839d715311dc --- /dev/null +++ b/graphics/R-cran-pROC/Makefile @@ -0,0 +1,20 @@ +# $FreeBSD$ + +PORTNAME= pROC +PORTVERSION= 1.15.3 +CATEGORIES= graphics +DISTNAME= ${PORTNAME}_${PORTVERSION} + +MAINTAINER= tota@FreeBSD.org +COMMENT= Display and Analyze ROC Curves + +LICENSE= GPLv3 + +CRAN_DEPENDS= R-cran-plyr>0:devel/R-cran-plyr \ + R-cran-Rcpp>=0.11.1:devel/R-cran-Rcpp +BUILD_DEPENDS= ${CRAN_DEPENDS} +RUN_DEPENDS= ${CRAN_DEPENDS} + +USES= cran:auto-plist,compiles + +.include <bsd.port.mk> diff --git a/graphics/R-cran-pROC/distinfo b/graphics/R-cran-pROC/distinfo new file mode 100644 index 000000000000..997efffa8885 --- /dev/null +++ b/graphics/R-cran-pROC/distinfo @@ -0,0 +1,3 @@ +TIMESTAMP = 1578588569 +SHA256 (pROC_1.15.3.tar.gz) = b010988a646a642657ec72d908c2e0ca2f9df0898c05b9f1f5ab6b739353a8cb +SIZE (pROC_1.15.3.tar.gz) = 366971 diff --git a/graphics/R-cran-pROC/pkg-descr b/graphics/R-cran-pROC/pkg-descr new file mode 100644 index 000000000000..b5f1d41d45c1 --- /dev/null +++ b/graphics/R-cran-pROC/pkg-descr @@ -0,0 +1,7 @@ +Tools for visualizing, smoothing and comparing receiver operating +characteristic (ROC curves). (Partial) area under the curve (AUC) +can be compared with statistical tests based on U-statistics or +bootstrap. Confidence intervals can be computed for (p)AUC or ROC +curves. + +WWW: https://cran.r-project.org/web/packages/pROC/ |