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Fast and accurate convolution-type smoothed quantile regression.
  Implemented using Barzilai-Borwein gradient descent with a Huber
  regression warm start. Construct confidence intervals for regression
  coefficients using multiplier bootstrap.

  WWW: https://cran.r-project.org/web/packages/conquer/
This commit is contained in:
TAKATSU Tomonari 2020-07-11 11:40:15 +00:00
parent eea6653222
commit 5ca7e5b7ec
Notes: svn2git 2021-03-31 03:12:20 +00:00 
svn path=/head/; revision=541962
4 changed files with 31 additions and 0 deletions
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1
math/Makefile
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@ -10,6 +10,7 @@
SUBDIR += R-cran-ADGofTest
SUBDIR += R-cran-Amelia
SUBDIR += R-cran-BsMD
SUBDIR += R-cran-conquer
SUBDIR += R-cran-CVST
SUBDIR += R-cran-ChangeAnomalyDetection
SUBDIR += R-cran-DEoptimR

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math/R-cran-conquer/Makefile Normal file
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# $FreeBSD$
PORTNAME= conquer
PORTVERSION= 1.0.1
CATEGORIES= math
DISTNAME= ${PORTNAME}_${PORTVERSION}
MAINTAINER= tota@FreeBSD.org
COMMENT= Convolution-Type Smoothed Quantile Regression
LICENSE= GPLv3
CRAN_DEPENDS= R-cran-Rcpp>=1.0.3:devel/R-cran-Rcpp \
R-cran-matrixStats>0:math/R-cran-matrixStats \
R-cran-RcppArmadillo>0:math/R-cran-RcppArmadillo
BUILD_DEPENDS= ${CRAN_DEPENDS}
RUN_DEPENDS= ${CRAN_DEPENDS}
USES= compiler:c++11-lang cran:auto-plist,compiles
.include <bsd.port.mk>

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math/R-cran-conquer/distinfo Normal file
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TIMESTAMP = 1594458481
SHA256 (conquer_1.0.1.tar.gz) = 6b93f824697b35ad76a4330c79fb4fe05c97dce130e7c8da2aaa5efdf869f1b0
SIZE (conquer_1.0.1.tar.gz) = 12550

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math/R-cran-conquer/pkg-descr Normal file
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Fast and accurate convolution-type smoothed quantile regression.
Implemented using Barzilai-Borwein gradient descent with a Huber
regression warm start. Construct confidence intervals for regression
coefficients using multiplier bootstrap.
WWW: https://cran.r-project.org/web/packages/conquer/