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nnfor
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]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.nnfor . https://github.com/trnnick/nnfor/issues . https://kourentzes.com/forecasting/2019/01/16/tutorial-for-the-nnfor-r-package/ . nnfor results . nnfor.pdf . nnfor_0.9.9.tar.gz . nnfor_0.9.9.zip . nnfor_0.9.9.zip . nnfor_0.9.9.zip . nnfor_0.9.9.tgz . nnfor_0.9.9.tgz . nnfor_0.9.9.tgz . nnfor_0.9.9.tgz . nnfor_0.9.9.tgz . nnfor_0.9.9.tgz . nnfor archive . https://CRAN.R-project.org/package=nnfor .
First Published: 2017-10-24
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. Accessed 29 Mar. 2025.
Previous versions and publish date:
Other packages that cited nnfor R package
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Other R packages that nnfor depends,
imports, suggests or enhances
Complete documentation for nnfor
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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