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An extensible framework to create and preprocess design matrices.
  Recipes consist of one or more data manipulation and analysis
  "steps". Statistical parameters for the steps can be estimated from
  an initial data set and then applied to other data sets. The resulting
  design matrices can then be used as inputs into statistical or
  machine learning models.

  WWW: https://cran.r-project.org/web/packages/recipes/
This commit is contained in:
TAKATSU Tomonari 2017-09-10 14:19:58 +00:00
parent 845a02f1de
commit b0df209326
Notes: svn2git 2021-03-31 03:12:20 +00:00 
svn path=/head/; revision=449574
4 changed files with 44 additions and 0 deletions
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1
math/Makefile
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@ -77,6 +77,7 @@
SUBDIR += R-cran-qualityTools
SUBDIR += R-cran-quantreg
SUBDIR += R-cran-RcppRoll
SUBDIR += R-cran-recipes
SUBDIR += R-cran-rgenoud
SUBDIR += R-cran-sandwich
SUBDIR += R-cran-sf

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math/R-cran-recipes/Makefile Normal file
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# Created by: TAKATSU Tomonari <tota@FreeBSD.org>
# $FreeBSD$
PORTNAME= recipes
PORTVERSION= 0.1.0
CATEGORIES= math
DISTNAME= ${PORTNAME}_${PORTVERSION}
MAINTAINER= tota@FreeBSD.org
COMMENT= Preprocessing Tools to Create Design Matrices
LICENSE= GPLv2
CRAN_DEPENDS= R-cran-dplyr>0:math/R-cran-dplyr \
R-cran-tibble>0:devel/R-cran-tibble \
R-cran-ipred>0:math/R-cran-ipred \
R-cran-dimRed>=0.1.0:math/R-cran-dimRed \
R-cran-lubridate>0:devel/R-cran-lubridate \
R-cran-timeDate>0:finance/R-cran-timeDate \
R-cran-ddalpha>0:math/R-cran-ddalpha \
R-cran-purrr>0:devel/R-cran-purrr \
R-cran-rlang>=0.1.1:devel/R-cran-rlang \
R-cran-gower>0:math/R-cran-gower \
R-cran-RcppRoll>0:math/R-cran-RcppRoll \
R-cran-tidyselect>=0.1.1:devel/R-cran-tidyselect \
R-cran-magrittr>0:devel/R-cran-magrittr
BUILD_DEPENDS= ${CRAN_DEPENDS}
RUN_DEPENDS= ${CRAN_DEPENDS}
USES= cran:auto-plist
.include <bsd.port.mk>

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math/R-cran-recipes/distinfo Normal file
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TIMESTAMP = 1504921818
SHA256 (recipes_0.1.0.tar.gz) = 6ba689b5101f54d8b32844ee15cf0e8f4cee471e62fc3f36ab1d463c0099cd67
SIZE (recipes_0.1.0.tar.gz) = 523958

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math/R-cran-recipes/pkg-descr Normal file
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An extensible framework to create and preprocess design matrices.
Recipes consist of one or more data manipulation and analysis
"steps". Statistical parameters for the steps can be estimated from
an initial data set and then applied to other data sets. The resulting
design matrices can then be used as inputs into statistical or
machine learning models.
WWW: https://cran.r-project.org/web/packages/recipes/