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RcppEnsmallen
View on CRAN: Click
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Download and install RcppEnsmallen package within the R console
Install from CRAN:
install.packages("RcppEnsmallen")
Install from Github:
library("remotes")
install_github("cran/RcppEnsmallen")
Install by package version:
library("remotes")
install_version("RcppEnsmallen", "0.2.22.1.1")
Attach the package and use:
library("RcppEnsmallen")
Maintained by
James Joseph Balamuta
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[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.RcppEnsmallen . RcppEnsmallen author details . RcppEnsmallen citation info . RcppEnsmallen results . RcppEnsmallen.pdf . Using RcppEnsmallen in Your Own R Package . RcppEnsmallen_0.2.22.1.1.tar.gz . RcppEnsmallen_0.2.22.1.1.zip . RcppEnsmallen_0.2.22.1.1.zip . RcppEnsmallen_0.2.22.1.1.zip . RcppEnsmallen_0.2.22.1.1.tgz . RcppEnsmallen_0.2.22.1.1.tgz . RcppEnsmallen_0.2.22.1.1.tgz . RcppEnsmallen_0.2.22.1.1.tgz . RcppEnsmallen archive . https://CRAN.R-project.org/package=RcppEnsmallen .
First Published: 2018-10-30
Latest Update: 2024-02-17
Description:
'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.
How to cite:
James Joseph Balamuta (2018). RcppEnsmallen: Header-Only C++ Mathematical Optimization Library for 'Armadillo'. R package version 0.2.22.1.1, https://cran.r-project.org/web/packages/RcppEnsmallen. Accessed 22 Apr. 2025.
Previous versions and publish date:
0.1.10.0.1 (2018-10-30 16:50), 0.1.11.1.1 (2018-11-30 17:40), 0.1.12.0.1 (2019-01-04 11:40), 0.1.13.0.1 (2019-01-21 09:50), 0.1.14.1.1 (2019-03-10 06:22), 0.1.14.4.1 (2019-05-13 16:40), 0.1.15.0.1 (2019-05-20 23:40), 0.1.16.0.1 (2019-08-29 06:30), 0.2.10.0.1 (2019-09-07 18:10), 0.2.10.3.1 (2019-10-01 00:00), 0.2.11.1.1 (2020-01-14 18:40), 0.2.11.3.1 (2020-02-20 06:20), 0.2.12.1.1 (2020-04-24 06:20), 0.2.13.0.1 (2020-07-24 14:10), 0.2.14.1.1 (2020-08-27 07:00), 0.2.14.2.1 (2020-09-07 12:00), 0.2.15.0.1 (2020-11-04 09:10), 0.2.16.1.1 (2021-03-05 21:00), 0.2.17.0.1 (2021-07-06 23:30), 0.2.18.0.1 (2021-10-22 09:30), 0.2.18.1.1 (2021-11-22 06:40), 0.2.18.2.1 (2022-02-19 13:10), 0.2.19.0.1 (2022-04-11 19:12), 0.2.20.0.1 (2023-10-06 09:50), 0.2.21.0.1 (2023-11-27 22:20), 0.2.21.1.1 (2024-02-17 01:20)
Other packages that cited RcppEnsmallen R package
View RcppEnsmallen citation profile
Other R packages that RcppEnsmallen depends,
imports, suggests or enhances
Complete documentation for RcppEnsmallen
Functions, R codes and Examples using
the RcppEnsmallen R package
Some associated functions: RcppEnsmallen-package . lin_reg_lbfgs .
Some associated R codes: RcppEnsmallen-package.R . RcppExports.R . inline.R . Full RcppEnsmallen package functions and examples
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