rcppcore r-universe repositoryhttps://rcppcore.r-universe.devPackage updated in rcppcorecranlike-server 0.17.17https://github.com/rcppcore.png?size=400rcppcore r-universe repositoryhttps://rcppcore.r-universe.devWed, 29 May 2024 12:22:04 GMT[rcppcore] RcppArmadillo 0.12.8.3.1edd@debian.org (Dirk Eddelbuettel)'Armadillo' is a templated C++ linear algebra library (by
Conrad Sanderson) that aims towards a good balance between
speed and ease of use. Integer, floating point and complex
numbers are supported, as well as a subset of trigonometric and
statistics functions. Various matrix decompositions are
provided through optional integration with LAPACK and ATLAS
libraries. The 'RcppArmadillo' package includes the header
files from the templated 'Armadillo' library. Thus users do not
need to install 'Armadillo' itself in order to use
'RcppArmadillo'. From release 7.800.0 on, 'Armadillo' is
licensed under Apache License 2; previous releases were under
licensed as MPL 2.0 from version 3.800.0 onwards and LGPL-3
prior to that; 'RcppArmadillo' (the 'Rcpp' bindings/bridge to
Armadillo) is licensed under the GNU GPL version 2 or later, as
is the rest of 'Rcpp'.https://github.com/r-universe/rcppcore/actions/runs/9286232092Wed, 29 May 2024 12:22:04 GMTRcppArmadillo0.12.8.3.1successhttps://rcppcore.r-universe.devhttps://github.com/rcppcore/rcpparmadilloRcppArmadillo-intro.RnwRcppArmadillo-intro.pdfRcppArmadillo-introduction2013-08-13 00:56:022020-02-11 13:50:08RcppArmadillo-sparseMatrix.RnwRcppArmadillo-sparseMatrix.pdfRcppArmadillo-sparseMatrix2017-07-31 12:32:342020-02-11 13:50:08[rcppcore] Rcpp 1.0.12.3edd@debian.org (Dirk Eddelbuettel)The 'Rcpp' package provides R functions as well as C++
classes which offer a seamless integration of R and C++. Many R
data types and objects can be mapped back and forth to C++
equivalents which facilitates both writing of new code as well
as easier integration of third-party libraries. Documentation
about 'Rcpp' is provided by several vignettes included in this
package, via the 'Rcpp Gallery' site at
<https://gallery.rcpp.org>, the paper by Eddelbuettel and
Francois (2011, <doi:10.18637/jss.v040.i08>), the book by
Eddelbuettel (2013, <doi:10.1007/978-1-4614-6868-4>) and the
paper by Eddelbuettel and Balamuta (2018,
<doi:10.1080/00031305.2017.1375990>); see 'citation("Rcpp")'
for details.https://github.com/r-universe/rcppcore/actions/runs/9276521104Tue, 28 May 2024 21:19:27 GMTRcpp1.0.12.3successhttps://rcppcore.r-universe.devhttps://github.com/rcppcore/rcppRcpp-attributes.RnwRcpp-attributes.pdfRcpp-attributes2013-08-31 19:11:152019-10-27 19:14:25Rcpp-extending.RnwRcpp-extending.pdfRcpp-extending2013-08-31 19:11:152019-10-27 19:14:25Rcpp-FAQ.RnwRcpp-FAQ.pdfRcpp-FAQ2013-08-31 19:07:272019-10-27 19:14:25Rcpp-introduction.RnwRcpp-introduction.pdfRcpp-introduction2013-08-31 19:11:152019-10-27 19:14:25Rcpp-jss-2011.RnwRcpp-jss-2011.pdfRcpp-JSS-20112017-09-02 13:01:242019-10-27 19:14:25Rcpp-libraries.RnwRcpp-libraries.pdfRcpp-libraries2020-05-01 01:56:102020-05-01 01:56:10Rcpp-modules.RnwRcpp-modules.pdfRcpp-modules2013-08-31 19:07:272019-10-27 19:14:25Rcpp-package.RnwRcpp-package.pdfRcpp-package2013-08-31 18:54:322019-10-27 19:14:25Rcpp-quickref.RnwRcpp-quickref.pdfRcpp-quickref2013-08-31 18:54:322019-10-27 19:14:25Rcpp-sugar.RnwRcpp-sugar.pdfRcpp-sugar2013-08-31 18:52:292019-10-27 19:14:25[rcppcore] RcppParallel 5.1.7-9001kevin@rstudio.com (Kevin Ushey)High level functions for parallel programming with 'Rcpp'.
For example, the 'parallelFor()' function can be used to
convert the work of a standard serial "for" loop into a
parallel one and the 'parallelReduce()' function can be used
for accumulating aggregate or other values.https://github.com/r-universe/rcppcore/actions/runs/9215640625Thu, 23 May 2024 22:19:41 GMTRcppParallel5.1.7-9001successhttps://rcppcore.r-universe.devhttps://github.com/rcppcore/rcppparallel[rcppcore] RcppEigen 0.3.4.0.0edd@debian.org (Dirk Eddelbuettel)R and 'Eigen' integration using 'Rcpp'. 'Eigen' is a C++
template library for linear algebra: matrices, vectors,
numerical solvers and related algorithms. It supports dense
and sparse matrices on integer, floating point and complex
numbers, decompositions of such matrices, and solutions of
linear systems. Its performance on many algorithms is
comparable with some of the best implementations based on
'Lapack' and level-3 'BLAS'. The 'RcppEigen' package includes
the header files from the 'Eigen' C++ template library. Thus
users do not need to install 'Eigen' itself in order to use
'RcppEigen'. Since version 3.1.1, 'Eigen' is licensed under the
Mozilla Public License (version 2); earlier version were
licensed under the GNU LGPL version 3 or later. 'RcppEigen'
(the 'Rcpp' bindings/bridge to 'Eigen') is licensed under the
GNU GPL version 2 or later, as is the rest of 'Rcpp'.https://github.com/r-universe/rcppcore/actions/runs/9111390025Thu, 16 May 2024 11:07:58 GMTRcppEigen0.3.4.0.0successhttps://rcppcore.r-universe.devhttps://github.com/rcppcore/rcppeigenRcppEigen-Introduction.RnwRcppEigen-Introduction.pdfRcppEigen-intro2012-09-29 20:50:052019-05-24 14:33:03