Implementation of a Recurrent Neural Network in R.
The stable version can be installed from CRAN using:
install.packages('rnn')
The development version, to be used at your peril, can be installed from GitHub using the remotes package.
if (!require('remotes')) install.packages('remotes')
# remotes::install_github('bquast/rnn')
install.packages("rnn", repos = c('https://bquast.r-universe.dev', 'https://cloud.r-project.org'))
Following installation, the package can be loaded using:
library(rnn)
For general information on using the package, please refer to the help files.
help('trainr')
help('predictr')
help(package='rnn')
There is also a long form vignette available using:
vignette('rnn')
An overview of the changes is available in the NEWS file.
news(package='rnn')
There is a dedicated website with information hosted on my personal website.
Development takes place on the GitHub page.
https://github.com/bquast/rnn/
Bugs can be filed on the issues page on GitHub.