Package: nnfor 0.9.8

nnfor: Time Series Forecasting with Neural Networks

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) <doi:10.1016/j.neucom.2010.01.017>; and (ii) Kourentzes et al. (2014) <doi:10.1016/j.eswa.2013.12.011>.

Authors:Nikolaos Kourentzes [aut, cre]

nnfor_0.9.8.tar.gz
nnfor_0.9.8.zip(r-4.7)nnfor_0.9.8.zip(r-4.6)nnfor_0.9.8.zip(r-4.5)
nnfor_0.9.8.tgz(r-4.6-any)nnfor_0.9.8.tgz(r-4.5-any)
nnfor_0.9.8.tar.gz(r-4.7-any)nnfor_0.9.8.tar.gz(r-4.6-any)
nnfor_0.9.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
nnfor/json (API)
NEWS

# Install 'nnfor' in R:

install.packages('nnfor', repos = c('https://trnnick.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/trnnick/nnfor/issues

On CRAN:

6.90 score 30 stars 11 packages 162 scripts 913 downloads 1 mentions 6 exports 60 dependencies

Last updated from:5865987ec1. Checks:7 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	NOTE	196
source / vignettes	OK	217
linux-release-x86_64	NOTE	203
macos-release-arm64	NOTE	123
macos-oldrel-arm64	NOTE	84
windows-devel	NOTE	97
windows-release	NOTE	105
windows-oldrel	NOTE	139
wasm-release	OK	156

Exports:elm elm.fast elm.thief linscale mlp mlp.thief

Dependencies:askpass cli codetools colorspace cpp11 curl Deriv farver foreach forecast fracdiff generics ggplot2 glmnet glue greybox gtable httr isoband iterators jsonlite labeling lattice lifecycle lmtest magrittr MAPA MASS Matrix mime neuralnet nlme nloptr nnet openssl plotrix pracma R6 RColorBrewer Rcpp RcppArmadillo RcppEigen rlang S7 scales shape smooth statmod survival sys texreg timeDate tsutils urca uroot vctrs viridisLite withr xtable zoo

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Extreme learning machines for time series forecasting	elm
ELM (fast) neural network.	elm.fast
ELM network for THieF.	elm.thief
Forecast using ELM neural network.	forecast.elm
Forecast using MLP neural network.	forecast.mlp
Apply minmax linear scaling to a vector.	linscale
Multilayer Perceptron for time series forecasting	mlp
MLP network for THieF.	mlp.thief
nnfor:Time Series Forecasting with Neural Networks	nnfor
Plot ELM network.	plot.elm
Plot MLP network.	plot.mlp
Predictions for ELM (fast) network.	predict.elm.fast