Skip to content

stlTDNN

0.1.0Package record

STL Decomposition and TDNN Hybrid Time Series Forecasting

0packages depend
2Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Implementation of hybrid STL decomposition based time delay neural network model for univariate time series forecasting. For method details see Jha G K, Sinha, K (2014). doi:10.1007/s00521-012-1264-z, Xiong T, Li C, Bao Y (2018). doi:10.1016/j.neucom.2017.11.053.

Install

Health

CRAN checks
13OK
Slowest check: 2.1 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.0
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
2
Examples that run
50%1 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
100%

Downloads

2K
CRAN downloads in the past year
Rank #23,122 · ~6/day · ~168/mo
Daily download trend is not available in this view yet.
21830 days
56490 days
2K1 year
Compare downloads with other packages →
Also on68 r2u5 autocran

Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)

Installing stlTDNN adds 54 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)
R >= 2.10
Imports (2)
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (4)
Author, Maintainer since 0.1.0 (2021)
Author, Contributor
Contributor
Releases (1)
  • 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
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 0.1.0Latest
    2021-02-24 · current release
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2021-02-24
Total releases
1 / 5 yrs
License
GPL-3 OSI
Minimum R
≥ 2.10
Bundled data
1.3 KB / 1 file
Download size
4.4 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("stlTDNN")
Jha, G. K., Choudhary, K., Jaiswal, R., & Kumar, R. R. (2021). stlTDNN: STL Decomposition and TDNN Hybrid Time Series Forecasting (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.stlTDNN

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for stlTDNN version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy