R Observatory: Metrics for nnfor version 0.9.9

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

nnfor

0.9.9Package record

Time Series Forecasting with Neural Networks

11packages dependsuggested by 1

14.9Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Nikolaos KourentzesCRAN page ↗GitHub ↗Website ↗Issues ↗

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.

Changes in 0.9.9

Fix package documentation.
Renamed internal function predict.elm.fast.internal to predictElmFastInternal to avoid S# method confusion.

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)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. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

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

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-nnfor

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# 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). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 2.3 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.9.9

READMEYes · 161 wordsVignettesNoNEWSYes · 100% structured · mentions 0.9.9Citation fileNoWebsiteYes

Help pages: 13 (1 internal)includes a package overview page
Examples that run: 9%1 run in a plain check · 10 never run
Exported functions with examples: 100%
Documented parameters: 88%
Return-value docs: 100%
Help pages citing references: 46%

How these are measured

Downloads

14.9K

CRAN downloads in the past year

Rank #3,116 · ~41/day · ~1.2K/mo

Releases R versions

Daily download trend is not available in this view yet.

2.3K30 days

4K90 days

14.9K1 year

Compare downloads with other packages →

Also on126 r2u4 autocran144 c2d4u

How downloads are counted

Repository

trnnick/nnfor ↗Account: trnnick

30Stars

14Forks

9Open issues

2Open PRs

0Releases

26Commits

2Commit identities

26 commits · Last activity 2023-11-12 · The default branch showed an older version (0.9.8) than CRAN on 2026-10-18

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 180
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2024-11-11 · 302026-07-07 · 30

How these are measured

PracticesBeta

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

Checks run against github.com/trnnick/nnfor on 2026-10-18.

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

8 external dependencies (excludes base and recommended)

Installing nnfor adds 53 packages (29 with compiled code, 41 MB of source tarballs). Heaviest: ggplot2 6.0 MB, smooth 3.4 MB, glmnet 2.7 MB.

Depends (1)

generics

Imports (8)

forecast glmnet neuralnet plotrixMASStsutils urootmethods

LinkingTo (0)

none

Suggests (1)

thief

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

11direct

1indirect

Imports 11

Suggested by 1

Depends, Imports or LinkingTo, most downloaded first

tswge mrf hybridts Saylac EEMDelm vmdTDNN VMDML stlELM stlTDNN MSGARCHelm decompML

Suggests, most downloaded first

mlr3forecast

How these are counted

Code & Tests

People & History

People (1)

Nikolaos Kourentzes

Author, Maintainer since 0.9 (2017)

Releases (5)

Pick two releases to compare their code metrics.

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
record
2023-11-15 · current release · diff ↗
R
R 4.3.0 released · 2023-04-21
0.9.8
record
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
record
2019-01-16 · diff ↗ ·
removed 2 exports
lagmatrix, seasdummy
R
R 3.5.0 released · 2018-04-23
0.9.2
record
2017-12-11 · diff ↗
0.9
record
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

Appears in task views

Time Series Analysis

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("nnfor")

Format

Kourentzes, N. (2023). nnfor: Time Series Forecasting with Neural Networks (Version 0.9.9) [Computer software]. https://doi.org/10.32614/CRAN.package.nnfor

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for nnfor version 0.9.9 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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