R Observatory: Metrics for TSSVM version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

TSSVM

0.1.0

Time Series Forecasting using SVM Model

1packages depend

2.2Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Mrinmoy RayFirst published 2022-12-021 releasesCRAN page ↗

Implementation and forecasting univariate time series data using the Support Vector Machine model. Support Vector Machine is one of the prominent machine learning approach for non-linear time series forecasting. For method details see Kim, K. (2003) doi:10.1016/S0925-2312(03)00372-2.

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

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

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

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-tssvm

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

# 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-TSSVM

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-TSSVM

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

Health

CRAN checks

13OK

Slowest check: 3.6 min · r-devel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

2

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: not tracked
Return-value docs: not tracked
References docs: 100%

Downloads

2.2K

CRAN downloads in the past year

Rank #19,986 · ~6/day · ~183/mo

Releases R versions

Daily download trend is not available in this view yet.

13530 days

55090 days

2.2K1 year

Compare downloads with other packages →

Also on86 r2u8 autocran

Dependencies

Declared dependencies

2 external dependencies (excludes base and recommended)

Depends (3)

R >= 2.3.1e1071 forecast

Imports (0)

none

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

THETASVM

Code & Tests

People & History

People (4)

Maintainer (1)

Mrinmoy Ray

Author, Maintainer

Authors (4)

Author, Maintainer

Author, Contributor

Author, Contributor

Author, Contributor

Contributors (3)

Samir Barman

Author, Contributor

K. N. Singh

Author, Contributor

Kanchan Sinha

Author, Contributor

Package Timeline

1 release. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
0.1.0Latest
2026-03-10 · current release
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2022-12-02
Total releases: 1 / 4 yrs
License: GPL-3 OSI
Minimum R: ≥ 2.3.1
Download size: 2.2 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("TSSVM")

Format

Ray, M., Barman, S., Singh, K. N., & Sinha, K. (2022). TSSVM: Time Series Forecasting using SVM Model (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.TSSVM

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 TSSVM version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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