548c1fcc31
Contains procedures for depth-based supervised learning, which are entirely non-parametric, in particular the DDalpha-procedure (Lange, Mosler and Mozharovskyi, 2014). The training data sample is transformed by a statistical depth function to a compact low-dimensional space, where the final classification is done. It also offers an extension to functional data and routines for calculating certain notions of statistical depth functions. 50 multivariate and 5 functional classification problems are included. WWW: https://cran.r-project.org/web/packages/ddalpha/
22 lines
515 B
Makefile
22 lines
515 B
Makefile
# Created by: TAKATSU Tomonari <tota@FreeBSD.org>
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# $FreeBSD$
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PORTNAME= ddalpha
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PORTVERSION= 1.2.1
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CATEGORIES= math
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DISTNAME= ${PORTNAME}_${PORTVERSION}
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MAINTAINER= tota@FreeBSD.org
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COMMENT= Depth-Based Classification and Calculation of Data Depth
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LICENSE= GPLv2
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CRAN_DEPENDS= R-cran-robustbase>0:math/R-cran-robustbase \
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R-cran-Rcpp>=0.11.0:devel/R-cran-Rcpp \
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R-cran-BH>0:devel/R-cran-BH
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BUILD_DEPENDS= ${CRAN_DEPENDS}
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RUN_DEPENDS= ${CRAN_DEPENDS}
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USES= cran:auto-plist,compiles
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.include <bsd.port.mk>
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