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Provided within are various standard and cutting-edge optimizers that\ninclude full-batch gradient descent techniques, small-batch techniques, \ngradient-free optimizers, and constrained optimization.\n\nThe RcppEnsmallen package includes the header files from the Ensmallen library\nand pairs the appropriate header files from \n[Armadillo](https://arma.sourceforge.net/) through the \n[RcppArmadillo](https://cran.r-project.org/package=RcppArmadillo) package. \nTherefore, users do not need to install Ensmallen nor Armadillo to use RcppEnsmallen. \n\n## Status\n\nThe package is under active development with releases to [CRAN](https://cran.r-project.org/)\nabout once a month.\n\n### Authors\n\nJames Balamuta and Dirk Eddelbuettel\n\n## Citing the `RcppEnsmallen` package\n\nTo ensure future development of the package, please cite `RcppEnsmallen` package\nif used during an analysis or simulation study. Citation information for\nthe package may be acquired by using in *R*:\n\n``` r\ncitation(\"RcppEnsmallen\")\n```\n\n### License\n\nGPL (\u003e= 2)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcoatless-rpkg%2Frcppensmallen","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcoatless-rpkg%2Frcppensmallen","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcoatless-rpkg%2Frcppensmallen/lists"}