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nnfor  

Time Series Forecasting with Neural Networks
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("nnfor", "0.9.9")



Attach the package and use:
library("nnfor")
Maintained by
Nikolaos Kourentzes
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-12-11
Latest Update: 2023-11-15
Description:
Automatic time series modelling with neural networks. Allows fully automatic, semi-manual or fully manual specification of networks. For details of the specification methodology see: (i) Crone and Kourentzes (2010) ; and (ii) Kourentzes et al. (2014) .
How to cite:
Nikolaos Kourentzes (2017). nnfor: Time Series Forecasting with Neural Networks. R package version 0.9.9, https://cran.r-project.org/web/packages/nnfor
Previous versions and publish date:
0.9.2 (2017-12-11 08:31), 0.9.6 (2019-01-16 15:20), 0.9.8 (2022-07-09 09:10), 0.9 (2017-10-24 17:29)
Other packages that cited nnfor R package
View nnfor citation profile
Other R packages that nnfor depends, imports, suggests or enhances
Functions, R codes and Examples using the nnfor R package
Some associated functions: elm.fast . elm . elm.thief . forecast.elm . forecast.mlp . linscale . mlp . mlp.thief . nnfor-package . nnfor . plot.elm . plot.mlp . predict.elm.fast . 
Some associated R codes: compcheck.R . elm.R . elm.fast.R . forecast.net.R . kdemode.R . linscale.R . mlp.R . net.thief.R . nnfor-package.R . plot.forecast.net.R . plot.net.R . print.net.R .  Full nnfor package functions and examples
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