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Time series modelling with neural networks for R: nnfor package

Development repository for the nnfor package for R. Stable version can be found at: https://cran.r-project.org/web/packages/nnfor/index.html

To install use:

if (!require("devtools")){install.packages("devtools")}

devtools::install_github("trnnick/nnfor")

Happy forecasting!

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Version

Install

install.packages('nnfor')

Monthly Downloads

2,253

Version

0.9.2

License

GPL (>= 2)

Maintainer

Nikolaos Kourentzes

Last Published

December 11th, 2017

Functions in nnfor (0.9.2)

lagmatrix

Create matrix with lead/lags of an input vector.
elm.thief

ELM network for THieF.
predict.elm.fast

Predictions for ELM (fast) network.
forecast.elm

Forecast using ELM neural network.
seasdummy

Create seasonal dummy variables.
elm

Extreme learning machines for time series forecasting
plot.elm

Plot ELM network.
elm.fast

ELM (fast) neural network.
plot.mlp

Plot MLP network.
linscale

Apply minmax linear scaling to a vector.
mlp

Multilayer Perceptron for time series forecasting
forecast.mlp

Forecast using MLP neural network.
mlp.thief

MLP network for THieF.
nnfor-package

nnfor: Time Series Forecasting with Neural Networks