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RcppML  

Rcpp Machine Learning Library
View on CRAN: Click here


Download and install RcppML package within the R console
Install from CRAN:
install.packages("RcppML")

Install from Github:
library("remotes")
install_github("cran/RcppML")

Install by package version:
library("remotes")
install_version("RcppML", "0.3.7")



Attach the package and use:
library("RcppML")
Maintained by
Zachary DeBruine
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-07-28
Latest Update: 2021-09-21
Description:
Fast machine learning algorithms including matrix factorization and divisive clustering for large sparse and dense matrices.
How to cite:
Zachary DeBruine (2021). RcppML: Rcpp Machine Learning Library. R package version 0.3.7, https://cran.r-project.org/web/packages/RcppML. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.1.0 (2021-07-28 14:10), 0.3.5 (2021-09-02 13:20)
Other packages that cited RcppML R package
View RcppML citation profile
Other R packages that RcppML depends, imports, suggests or enhances
Complete documentation for RcppML
Functions, R codes and Examples using the RcppML R package
Some associated functions: RcppML . bipartition . dclust . getRcppMLthreads . mse . nmf . nnls . project . setRcppMLthreads . 
Some associated R codes: RcppExports.R . RcppML.R . bipartition.R . dclust.R . mse.R . nmf.R . project.R . threads.R .  Full RcppML package functions and examples
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