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tsfgrnn

1.0.5

Time Series Forecasting Using GRNN

0packages depend
3.1Kdownloads / year
15.0%test coverage
11/13checks pass

Overview

About
Maintained by Francisco MartinezFirst published 2019-11-256 releasesCRAN page ↗GitHub ↗

A general regression neural network (GRNN) is a variant of a Radial Basis Function Network characterized by a fast single-pass learning. 'tsfgrnn' allows you to forecast time series using a GRNN model Francisco Martinez et al. (2019) doi:10.1007/978-3-030-20521-8_17 and Francisco Martinez et al. (2022) doi:10.1016/j.neucom.2021.12.028. When the forecasting horizon is higher than 1, two multi-step ahead forecasting strategies can be used. The model built is autoregressive, that is, it is only based on the observations of the time series. You can consult and plot how the prediction was done. It is also possible to assess the forecasting accuracy of the model using rolling origin evaluation.

Install

Health

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 2.7 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.06
15.0%
Coverage · measured lines
100%
Documentation · exports
2
Dependencies · direct
Check history
  • NOTE2026-06-09
    11 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    11 OK · 1 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-04-22
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 111 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
13%

Downloads

3.1K
CRAN downloads in the past year
Rank #13,774 · ~8/day · ~256/mo
Daily download trend is not available in this view yet.
19230 days
74890 days
3.1K1 year
Compare downloads with other packages →
Also on394 r2u

Repository

Repository
8Stars
2Forks
0Open issues
0Open PRs
0Releases
23Commits
1Contributors
23 commits · Last activity 2024-02-15

Stars over time

2024-03-29 · 72026-07-07 · 8

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/franciscomartinezdelrio/tsfgrnn on 2026-07-31.

Continuous integration (1)
GitHub Actions
CRAN release process (1)
cran-comments.md
Docs source (1)
README.Rmd
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)
Depends (0)
none
Imports (2)
LinkingTo (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (4)
Maintainer (1)
Author, Maintainer
Authors (4)
Package Timeline

6 releases. Pick two to compare their code metrics. 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
  • 1.0.5Latest
    2024-02-15 · current release · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0.4
    2023-03-24 · diff ↗
  • 1.0.2
    2022-05-30 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 1.0.1
    2021-04-22 · diff ↗
  • 1.0.0
    2021-03-08 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 0.1.0
    2019-11-25
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2019-11-25
Total releases
6 / 7 yrs
License
GPL-2 OSI
Download size
82 KB
Installed size
not tracked yet
With dependencies
not tracked yet
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