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-any)nnfor_0.9.8.zip(r-4.6-any)nnfor_0.9.8.zip(r-4.5-any)
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
DESCRIPTION |NEWS
card.svg |card.png
nnfor/json (API)

# 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:

Conda:

6.95 score 30 stars 11 packages 179 scripts 834 downloads 1 mentions 6 exports 60 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE222
source / vignettesOK232
linux-release-x86_64NOTE194
macos-release-arm64NOTE99
macos-oldrel-arm64NOTE107
windows-develNOTE109
windows-releaseNOTE139
windows-oldrelNOTE144
wasm-releaseOK145

Exports:elmelm.fastelm.thieflinscalemlpmlp.thief

Dependencies:askpassclicodetoolscolorspacecpp11curlDerivfarverforeachforecastfracdiffgenericsggplot2glmnetgluegreyboxgtablehttrisobanditeratorsjsonlitelabelinglatticelifecyclelmtestmagrittrMAPAMASSMatrixmimeneuralnetnlmenloptrnnetopensslplotrixpracmaR6RColorBrewerRcppRcppArmadilloRcppEigenrlangS7scalesshapesmoothstatmodsurvivalsystexregtimeDatetsutilsurcaurootvctrsviridisLitewithrxtablezoo