version 0.3.1

DESCRIPTION

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+Package: SBCK
+Type: Package
+Title: Statistical Bias Correction Kit
+Version: 0.3.1
+Date: 2021-03-31
+Authors@R: c( person("Yoann"  , "Robin", email = "yoann.robin.k@gmail.com"  , role = c("aut", "cre")),
+			  person("Mathieu", "Vrac" , email = "mathieu.vrac@lsce.ipsl.fr", role = c("cph")) )
+Description: Implementation of several recent multivariate bias correction
+			 methods with a unified interface to facilitate their use. A
+			 description and comparison between methods can be found in François
+			 et al, (2020) <doi:10.5194/esd-11-537-2020>.
+URL: https://github.com/yrobink/SBCK
+Depends: R (>= 3.3)
+License: GPL-3
+Encoding: UTF-8
+LazyData: false
+NeedsCompilation: yes
+Imports: Rcpp, methods, R6, ROOPSD
+LinkingTo: Rcpp, RcppEigen
+RcppModules: SBCK_cpp
+RoxygenNote: 7.1.1
+Packaged: 2021-04-09 08:45:45 UTC; yrobin
+Author: Yoann Robin [aut, cre],
+  Mathieu Vrac [cph]
+Maintainer: Yoann Robin <yoann.robin.k@gmail.com>
+Repository: CRAN
+Date/Publication: 2021-04-10 08:00:08 UTC

MD5

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+1ebbd3e34237af26da5dc08a4e440464 *COPYING
+b73ffddee03255680fd79b723af52633 *DESCRIPTION
+330a636df9722f12d454654f63fd4e8a *NAMESPACE
+bef4fef8bf2e237233ecef5c77df4f0a *R/RcppExports.R
+15fce5793ce48e65b8f73d0fa36db3f5 *R/SBCK.R
+b8569362a1caf60c1d1d610dfc779d07 *R/bc.CDFt.R
+2239cf774d90fe17619a7eaacfe2511d *R/bc.ECBC.R
+b2ed9de5082c2496d99522c059f7d5f6 *R/bc.MBCn.R
+a77fdc2f27965e13805eaa9a7db4ec87 *R/bc.MRec.R
+0417425ab8a0f60e55d3102457049aaf *R/bc.OTC.R
+571ef1cc44e4735b09b1787cb2c493d0 *R/bc.QDM.R
+1eaa413d5f36021fdbf49017bab0b1ef *R/bc.QM.R
+73ffc777f3a6b127892ca36940742355 *R/bc.QMrs.R
+a964a907e38dd1b1b5eeae2fad779c78 *R/bc.R2D2.R
+5729383c60083066a3dcbd2518b03109 *R/bc.RBC.R
+8d2549193672a70bdfde38756b4c4913 *R/bc.dOTC.R
+49aeba46a60f5ae07f1d12d1740ca229 *R/datasets.multivariates.R
+b711808089f39e1032c21651e3e4b74d *R/datasets.univariates.R
+ebbebfd411d0845178e2d520757f560b *R/metrics.chebyshev.R
+1f1759505716e230f847445bb6af4dd0 *R/metrics.energy.R
+f4c25074d664180338149fb35793ce0c *R/metrics.euclidean.R
+8dcc592000a1a3c67ebd7d0fa2143e09 *R/metrics.manhattan.R
+5a057a8bb4babd0937284854d4b6f4e0 *R/metrics.minkowski.R
+17be962d69583072e7e8d457381e37cd *R/metrics.wasserstein.R
+0076a3fee38e56195812f7143153f92c *R/tools.DistHelper.R
+743e158bdcd75dd7e3bbf5b5bc501338 *R/tools.OTHist.R
+e193eee550ec379c0e063623f6e7bbbc *R/tools.OTNetworkSimplex.R
+3fdef89b89a7f51e40728d26cb635e5d *R/tools.Pairwise_distances.R
+85837be84b1f1374e7ad7cd90f4b9efd *R/tools.SparseHist.R
+97b1ccb74138fe8cb696126fc286f684 *R/tools.StoppingCriteria.R
+cc3d7fb627d1f476b47ea3a37507a086 *R/tools.bin_width_estimator.R
+5889d801b811684abbd35930b9e80030 *R/tools.data_to_hist.R
+d6f21ec79f696526f4b3df5c0e4d1020 *R/tools.shuffle.R
+a45f1cf85640641ff71a3fa295372401 *man/CDFt.Rd
+5fe6ef678dce3853fa52eba60ca388b8 *man/DistHelper.Rd
+8d6d6149b65872af71ff9394da09c474 *man/ECBC.Rd
+74590b48bcfe8e1d5966e24789b86ab2 *man/MBCn.Rd
+8059a49b941f8ce0ae78063166bacaec *man/MRec.Rd
+f7b432bdbe45e242bff1a682f2052a98 *man/OTC.Rd
+2ced0dd5aff8907471657f9682e6f700 *man/OTHist.Rd
+92924b697cef62328ba3c4c4032034cc *man/OTNetworkSimplex.Rd
+f286df6fcc2adeeb066b1d64fe99769c *man/QDM.Rd
+5ab810a2bf7f529aebd9432eb3cb123a *man/QM.Rd
+4351176a74740f9052d6c4f3e3bb0be0 *man/QMrs.Rd
+61f52dc43b49c83a6082b6fe96a2d0d9 *man/R2D2.Rd
+7231ca57f2cc87f77c7a8662754b3082 *man/RBC.Rd
+1e133125d3ec893c89d38501ac2baf7b *man/SBCK.Rd
+8134b9dae46e351a464fb1e694886856 *man/SchaakeShuffle.Rd
+2da8c64a6860769298c9b1006ce81d5d *man/SchaakeShuffleRef.Rd
+7842f1bd0ebed07f79b6ff1be76ee759 *man/SlopeStoppingCriteria.Rd
+e85713aa6012f84d3840ce1e1f22ae3d *man/SparseHist.Rd
+cd41b7cb17898ac0a470e08ce7aaca74 *man/bin_width_estimator.Rd
+139c26426cfb289c1547965f99c38eff *man/chebyshev.Rd
+32e54a4e4ab89ed6cf25b8d204f94997 *man/cpp_pairwise_distances_XCall.Rd
+f00157b8f54aedd7359931e7b406733b *man/cpp_pairwise_distances_XYCall.Rd
+f9798adebefa34a3dac20fe62b220386 *man/cpp_pairwise_distances_XYstr.Rd
+4b763c8b59ba9cba071cb80725fc6f4b *man/cpp_pairwise_distances_Xstr.Rd
+12273cf3ded660bf9011a4198bf8a317 *man/dOTC.Rd
+5c987d1cfdb70c137b92844aa02a5a8b *man/data_to_hist.Rd
+7cf840687ce180c40ac200a3f4425012 *man/dataset_bimodal_reverse_2d.Rd
+8e4daa2f224634827a16476b443df055 *man/dataset_gaussian_2d.Rd
+65f0792c72112f1cf5ab41fc5438f88b *man/dataset_gaussian_L_2d.Rd
+47d5876ccd09b1ec683014242e1d1b6d *man/dataset_gaussian_VS_exp_1d.Rd
+030b5d76dc8810e47320478ba91fad13 *man/dataset_gaussian_exp_2d.Rd
+29696d42cf8fb16d5509ebece79d107d *man/dataset_gaussian_exp_mixture_1d.Rd
+dd7bee401d0b1b6a2f4494b69be8dcdc *man/energy.Rd
+562f755741a8bd70b58fcd2dece8f398 *man/euclidean.Rd
+600ad830ecb8281b87e0785e0a03f654 *man/manhattan.Rd
+36b6ac58063a92924ffda56a2785245e *man/minkowski.Rd
+88db3915239f6554c78f0a94ad0c9566 *man/network_simplex.Rd
+01b2c7ffdade1276e35396516f23f784 *man/pairwise_distances.Rd
+c4e328947c1cece97821b3a96897e2d0 *man/schaake_shuffle.Rd
+7f62142254f01a5e28392a4141f7740c *man/wasserstein.Rd
+e0ecb37bb42d118c5e2cff34b02805e4 *src/Makevars
+9ad39f526753894a352e51bd348f25ea *src/NetworkSimplex.h
+ff51ee613b6f38b70a43abf053040c7d *src/NetworkSimplexLemon.h
+25ad81f72718232a9c1ef863a49dcd71 *src/Pairwise_distances.h
+eb04f5353f102135bdbba65827dd0140 *src/RcppExports.cpp
+13a0da7c77540925e3ff159866c5ec93 *src/SparseHist.h
+5292520fc7a8577300acf79456176a72 *src/rcppeigen_modules.cpp

NAMESPACE

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+# Generated by roxygen2: do not edit by hand
+
+export(CDFt)
+export(DistHelper)
+export(ECBC)
+export(MBCn)
+export(MRec)
+export(OTC)
+export(OTHist)
+export(OTNetworkSimplex)
+export(QDM)
+export(QM)
+export(QMrs)
+export(R2D2)
+export(RBC)
+export(SchaakeShuffle)
+export(SchaakeShuffleRef)
+export(SlopeStoppingCriteria)
+export(SparseHist)
+export(bin_width_estimator)
+export(chebyshev)
+export(cpp_pairwise_distances_XCall)
+export(cpp_pairwise_distances_XYCall)
+export(cpp_pairwise_distances_XYstr)
+export(cpp_pairwise_distances_Xstr)
+export(dOTC)
+export(data_to_hist)
+export(dataset_bimodal_reverse_2d)
+export(dataset_gaussian_2d)
+export(dataset_gaussian_L_2d)
+export(dataset_gaussian_VS_exp_1d)
+export(dataset_gaussian_exp_2d)
+export(dataset_gaussian_exp_mixture_1d)
+export(energy)
+export(euclidean)
+export(manhattan)
+export(minkowski)
+export(network_simplex)
+export(pairwise_distances)
+export(schaake_shuffle)
+export(wasserstein)
+import(R6)
+import(ROOPSD)
+import(Rcpp)
+import(methods)
+importFrom(R6,R6Class)
+importFrom(Rcpp,evalCpp)
+importFrom(stats,quantile)
+useDynLib(SBCK, .registration=TRUE)

R/RcppExports.R

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+# Generated by using Rcpp::compileAttributes() -> do not edit by hand
+# Generator token: 10BE3573-1514-4C36-9D1C-5A225CD40393
+
+#' network_simplex
+#' 
+#' Function to solve network simplex problem
+#'
+#' @usage network_simplex(X,Y,D)
+#' @param X [Rcpp::NumericVector] Source
+#' @param Y [Rcpp::NumericVector] Target
+#' @param D [Rcpp::NumericMatrix] Cost
+#'
+#' @return [Rcpp::List] List containing the plan and if optim is a success
+#'
+#' @export
+network_simplex <- function(X, Y, D) {
+    .Call(`_SBCK_network_simplex`, X, Y, D)
+}
+
+#' cpp_pairwise_distances_XYstr
+#' 
+#' Pairwise distances between two differents matrix X and Y with a 
+#' compiled str_metric. DO NOT USE, use SBCK::pairwise_distances
+#'
+#' @usage cpp_pairwise_distances_XYstr(X,Y,str_metric)
+#' @param X [Rcpp::NumericMatrix] Matrix
+#' @param Y [Rcpp::NumericMatrix] Matrix
+#' @param str_metric [std::string] c++ string
+#'
+#' @export
+cpp_pairwise_distances_XYstr <- function(X, Y, str_metric) {
+    .Call(`_SBCK_cpp_pairwise_distances_XYstr`, X, Y, str_metric)
+}
+
+#' cpp_pairwise_distances_Xstr
+#' 
+#' Pairwise distances between X and themselves with a compiled 
+#' str_metric. DO NOT USE, use SBCK::pairwise_distances
+#'
+#' @usage cpp_pairwise_distances_Xstr(X,str_metric)
+#' @param X [Rcpp::NumericMatrix] Matrix
+#' @param str_metric [std::string] c++ string
+#'
+#' @export
+cpp_pairwise_distances_Xstr <- function(X, str_metric) {
+    .Call(`_SBCK_cpp_pairwise_distances_Xstr`, X, str_metric)
+}
+
+#' cpp_pairwise_distances_XYCall
+#' 
+#' Pairwise distances between X  and Y with a R function (metric).
+#' DO NOT USE, use SBCK::pairwise_distances
+#'
+#' @usage cpp_pairwise_distances_XYCall(X,Y,metric)
+#' @param X [Rcpp::NumericMatrix] Matrix
+#' @param Y [Rcpp::NumericMatrix] Matrix
+#' @param metric [Rcpp::Function] R function
+#'
+#' @export
+cpp_pairwise_distances_XYCall <- function(X, Y, metric) {
+    .Call(`_SBCK_cpp_pairwise_distances_XYCall`, X, Y, metric)
+}
+
+#' cpp_pairwise_distances_XCall
+#' 
+#' Pairwise distances between X and themselves with a R function (metric).
+#' DO NOT USE, use SBCK::pairwise_distances
+#'
+#' @usage cpp_pairwise_distances_XCall(X,metric)
+#' @param X [Rcpp::NumericMatrix] Matrix
+#' @param metric [Rcpp::Function] R function
+#'
+#' @export
+cpp_pairwise_distances_XCall <- function(X, metric) {
+    .Call(`_SBCK_cpp_pairwise_distances_XCall`, X, metric)
+}
+

R/SBCK.R

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+
+## Copyright(c) 2021 Yoann Robin
+## 
+## This file is part of SBCK.
+## 
+## SBCK is free software: you can redistribute it and/or modify
+## it under the terms of the GNU General Public License as published by
+## the Free Software Foundation, either version 3 of the License, or
+## (at your option) any later version.
+## 
+## SBCK is distributed in the hope that it will be useful,
+## but WITHOUT ANY WARRANTY; without even the implied warranty of
+## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+## GNU General Public License for more details.
+## 
+## You should have received a copy of the GNU General Public License
+## along with SBCK.  If not, see <https://www.gnu.org/licenses/>.
+
+#' SBCK
+#'
+#' Statistical Bias Correction Kit
+#'
+#' @docType package
+#' @author Yoann Robin Maintainer: Yoann Robin <yoann.robin.k@gmail.com>
+#' @import methods
+#' @import ROOPSD
+#' @import R6
+#' @import Rcpp
+#' @importFrom Rcpp evalCpp
+#' @useDynLib SBCK, .registration=TRUE
+#' @name SBCK
+NULL
+
+
+loadModule("SBCK_cpp", TRUE)
+
+