RcppEnsmallen: Header-Only C++ Mathematical Optimization Library for 'Armadillo'

'Ensmallen' is a templated C++ mathematical optimization library (by the 'MLPACK' team) that provides a simple set of abstractions for writing an objective function to optimize. Provided within are various standard and cutting-edge optimizers that include full-batch gradient descent techniques, small-batch techniques, gradient-free optimizers, and constrained optimization. The 'RcppEnsmallen' package includes the header files from the 'Ensmallen' library and pairs the appropriate header files from 'armadillo' through the 'RcppArmadillo' package. Therefore, users do not need to install 'Ensmallen' nor 'Armadillo' to use 'RcppEnsmallen'. Note that 'Ensmallen' is licensed under 3-Clause BSD, 'Armadillo' starting from 7.800.0 is licensed under Apache License 2, 'RcppArmadillo' (the 'Rcpp' bindings/bridge to 'Armadillo') is licensed under the GNU GPL version 2 or later. Thus, 'RcppEnsmallen' is also licensed under similar terms. Note that 'Ensmallen' requires a compiler that supports 'C++11' and 'Armadillo' 9.800 or later.

Version: 0.2.21.1.1
Depends: R (≥ 4.0.0)
Imports: Rcpp
LinkingTo: Rcpp, RcppArmadillo (≥ 0.9.800.0.0)
Suggests: knitr, rmarkdown
Published: 2024-02-17
DOI: 10.32614/CRAN.package.RcppEnsmallen
Author: James Joseph Balamuta ORCID iD [aut, cre, cph], Dirk Eddelbuettel ORCID iD [aut, cph]
RcppEnsmallen author details
Maintainer: James Joseph Balamuta <balamut2 at illinois.edu>
BugReports: https://github.com/coatless-rpkg/rcppensmallen/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
Copyright: see file COPYRIGHTS
URL: https://github.com/coatless-rpkg/rcppensmallen, https://r-pkg.thecoatlessprofessor.com/rcppensmallen/, https://github.com/mlpack/ensmallen, https://ensmallen.org/
NeedsCompilation: yes
Citation: RcppEnsmallen citation info
Materials: README NEWS ChangeLog
CRAN checks: RcppEnsmallen results

Documentation:

Reference manual: RcppEnsmallen.pdf
Vignettes: Using RcppEnsmallen in Your Own R Package
Solving Linear Regression using Numeric Optimization

Downloads:

Package source: RcppEnsmallen_0.2.21.1.1.tar.gz
Windows binaries: r-devel: RcppEnsmallen_0.2.21.1.1.zip, r-release: RcppEnsmallen_0.2.21.1.1.zip, r-oldrel: RcppEnsmallen_0.2.21.1.1.zip
macOS binaries: r-release (arm64): RcppEnsmallen_0.2.21.1.1.tgz, r-oldrel (arm64): RcppEnsmallen_0.2.21.1.1.tgz, r-release (x86_64): RcppEnsmallen_0.2.21.1.1.tgz, r-oldrel (x86_64): RcppEnsmallen_0.2.21.1.1.tgz
Old sources: RcppEnsmallen archive

Reverse dependencies:

Reverse linking to: HDJM, mlpack, PJFM, Racmacs, sparsevb, VBJM

Linking:

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