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
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nnfor.pdf |nnfor.html
nnfor/json (API)
NEWS

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

Peer review:

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

On CRAN:

6 exports 31 stars 3.41 score 70 dependencies 9 dependents 1 mentions 90 scripts 1.4k downloads

Last updated 10 months agofrom:5865987ec1. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 07 2024
R-4.5-winNOTESep 07 2024
R-4.5-linuxNOTESep 07 2024
R-4.4-winNOTESep 07 2024
R-4.4-macNOTESep 07 2024
R-4.3-winOKSep 07 2024
R-4.3-macOKSep 07 2024

Exports:elmelm.fastelm.thieflinscalemlpmlp.thief

Dependencies:askpassclicodetoolscolorspacecurlDerivfansifarverforeachforecastfracdiffgenericsggplot2glmnetgluegreyboxgtablehttrisobanditeratorsjsonlitelabelinglatticelifecyclelmtestmagrittrMAPAMASSMatrixmgcvmimemunsellneuralnetnlmenloptrnnetopensslpillarpkgconfigplotrixpracmaquadprogquantmodR6RColorBrewerRcppRcppArmadilloRcppEigenrlangscalesshapesmoothstatmodsurvivalsystexregtibbletimeDatetseriestsutilsTTRurcaurootutf8vctrsviridisLitewithrxtablextszoo