nnfor

0.9.9

Time Series Forecasting with Neural Networks

12packages depend

18.7Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Nikolaos KourentzesFirst published 2017-10-245 releasesCRAN page ↗GitHub ↗

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.

Install

R (CRAN)pak (dev)Ubuntu (r2u)openSUSE (OBS)

install.packages("nnfor", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("trnnick/nnfor")

Development version from trnnick/nnfor. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-nnfor

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-nnfor

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 2.9 min · r-devel-linux-x86_64-fedora-clang

Check history

OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation signals are not tracked yet for this package.

Downloads

18.7K

CRAN downloads in the past year

Rank #3,884 · ~51/day · ~1.6K/mo

nnfor Releases R versions

Daily download trend is not available in this view yet.

75730 days

2.6K90 days

18.7K1 year

Compare downloads with other packages →

Also on113 r2u24 autocran75 c2d4u

Repository

GitHub ↗ trnnick/nnfor

30Stars

14Forks

9Open issues

2Open PRs

0Releases

26Commits

2Contributors

26 commits · Last activity 2024-02-03

Repository practices

Upstream repositoryBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/trnnick/nnfor on 2026-07-19.

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

8 external dependencies (excludes base and recommended)

Depends (1)

generics

Imports (8)

forecast glmnet neuralnet plotrixMASStsutils urootmethods

LinkingTo (0)

none

Suggests (1)

thief

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

12direct

1indirect

EEMDelm MSGARCHelm Saylac VMDML decompML hybridts mrf stlELM stlTDNN tswge vmdTDNN mlr3forecast

Code & Tests

People & History

People (1)

Maintainer (1)

Nikolaos Kourentzes

Author, Maintainer

Authors (1)

Nikolaos Kourentzes

Author, Maintainer

Package Timeline

5 releases. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
0.9.9Latest
2023-11-15 · current release · diff ↗
R
R 4.3.0 released · 2023-04-21
0.9.8
2022-07-09 · diff ↗
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
0.9.6
2019-01-16 · diff ↗
R
R 3.5.0 released · 2018-04-23
0.9.2
2017-12-11 · diff ↗
0.9
2017-10-24
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2017-10-24
Total releases: 5 / 9 yrs
License: GPL-3 OSI
Download size: 33 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Time Series Analysis

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