Package: RcppEnsmallen 0.3.10.0.1

James Joseph Balamuta

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++14' and 'Armadillo' 10.8.2 or later.

Authors:James Joseph Balamuta [aut, cre, cph], Dirk Eddelbuettel [aut, cph]

RcppEnsmallen_0.3.10.0.1.tar.gz
RcppEnsmallen_0.3.10.0.1.tar.gz(r-4.7-arm64)RcppEnsmallen_0.3.10.0.1.tar.gz(r-4.7-x86_64)RcppEnsmallen_0.3.10.0.1.tar.gz(r-4.6-arm64)RcppEnsmallen_0.3.10.0.1.tar.gz(r-4.6-x86_64)
RcppEnsmallen_0.3.10.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
RcppEnsmallen/json (API)
NEWS

# Install 'RcppEnsmallen' in R:
install.packages('RcppEnsmallen', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/coatless-rpkg/rcppensmallen/issues

Pkgdown/docs site:https://r-pkg.thecoatlessprofessor.com

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

openblascppopenmp

4.99 score 16 packages 1 scripts 1.0k downloads 1 exports 2 dependencies

Last updated from:e7014d551a. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK122
linux-devel-x86_64OK125
source / vignettesOK187
linux-release-arm64OK130
linux-release-x86_64OK128
wasm-releaseOK118

Exports:lin_reg_lbfgs

Dependencies:RcppRcppArmadillo

Solving Linear Regression using Numeric Optimization

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Last update: 2023-11-28
Started: 2019-09-30

Using RcppEnsmallen in Your Own R Package

Rendered frompackage-usage.Rmdusingknitr::rmarkdownon May 28 2026.

Last update: 2025-09-10
Started: 2023-11-28