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# -*- coding: utf-8; mode: tcl; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- vim:fenc=utf-8:ft=tcl:et:sw=4:ts=4:sts=4 | ||
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PortSystem 1.0 | ||
PortGroup R 1.0 | ||
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R.setup cran arothman MRCE 2.4 | ||
revision 0 | ||
categories-append math | ||
maintainers nomaintainer | ||
license GPL-2 | ||
description Multivariate Regression with Covariance Estimation | ||
long_description {*}${description} | ||
checksums rmd160 5979ae5b3309493dabc3df35a9b38281240514b6 \ | ||
sha256 0cab354bd4151138c11579a42d15e5f283c79e31a9e5280ba3f7ae60eb87ad48 \ | ||
size 13040 | ||
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depends_lib-append port:R-glasso | ||
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test.run yes |
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# -*- coding: utf-8; mode: tcl; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- vim:fenc=utf-8:ft=tcl:et:sw=4:ts=4:sts=4 | ||
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PortSystem 1.0 | ||
PortGroup R 1.0 | ||
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R.setup cran sfulxing MTPS 1.0.2 | ||
revision 0 | ||
categories-append math | ||
platforms {darwin any} | ||
maintainers nomaintainer | ||
license GPL-2+ | ||
description Multi-task prediction using stacking algorithms | ||
long_description {*}${description} | ||
checksums rmd160 4f195d1e55b3f0bdd6f647b4ae915c15e49e4028 \ | ||
sha256 6878fc50ca193d6fb5d7a392e04db84506eca52d3bea5dc7053a43aef90e682f \ | ||
size 192353 | ||
supported_archs noarch | ||
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depends_lib-append port:R-e1071 \ | ||
port:R-glmnet | ||
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depends_test-append port:R-ggplot2 \ | ||
port:R-knitr \ | ||
port:R-reshape2 \ | ||
port:R-rmarkdown | ||
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test.run yes |
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# -*- coding: utf-8; mode: tcl; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- vim:fenc=utf-8:ft=tcl:et:sw=4:ts=4:sts=4 | ||
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PortSystem 1.0 | ||
PortGroup R 1.0 | ||
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R.setup cran razeeebuet MultivariateRandomForest 1.1.5 | ||
revision 0 | ||
categories-append math | ||
maintainers nomaintainer | ||
license GPL-2+ | ||
description Models multivariate cases using random forests | ||
long_description {*}${description} | ||
checksums rmd160 ff8c294b6f19dfd3456fa005cb9907791cfe0d8e \ | ||
sha256 0dcdab886baf4edacf73ff2c6886acf44e8002343a39c1ebf651650c43279c57 \ | ||
size 11663 | ||
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depends_lib-append port:R-bootstrap \ | ||
port:R-Rcpp | ||
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test.run yes |
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# -*- coding: utf-8; mode: tcl; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- vim:fenc=utf-8:ft=tcl:et:sw=4:ts=4:sts=4 | ||
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PortSystem 1.0 | ||
PortGroup R 1.0 | ||
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R.setup cran rluo SiER 0.1.0 | ||
revision 0 | ||
platforms {darwin any} | ||
maintainers nomaintainer | ||
license GPL-2 | ||
description Signal extraction approach for sparse multivariate \ | ||
response regression | ||
long_description {*}${description} | ||
checksums rmd160 a502ee8752a673128c6bd812c822c248393a1501 \ | ||
sha256 1e741126c53f4850b9337ae386a75859e7d55e62bf69cab60ddf7c30a0dde6d9 \ | ||
size 7606 | ||
supported_archs noarch | ||
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test.run yes |
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