R Observatory: Metrics for TSPred version 5.1.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

TSPred

5.1.1Package record

Functions for Benchmarking Time Series Prediction

1packages depend

8.5Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Rebecca Pontes SallesCRAN page ↗GitHub ↗Issues ↗

Functions for defining and conducting a time series prediction process including pre(post)processing, decomposition, modelling, prediction and accuracy assessment. The generated models and its yielded prediction errors can be used for benchmarking other time series prediction methods and for creating a demand for the refinement of such methods. For this purpose, benchmark data from prediction competitions may be used.

Install

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

install.packages("TSPred", 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("RebeccaSalles/TSPred")

Development version from RebeccaSalles/TSPred. 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-tspred

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-TSPred

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-TSPred

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: 2.5 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 5.1.1

README· In the repository, left out of the releaseVignettesNoNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION

Help pages: 77 (7 internal)includes a package overview page
Examples that run: 85%56 run in a plain check · 10 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 84%
Documented parameters: 93%
Return-value docs: 98%
Help pages citing references: 68%

How these are measured

Downloads

8.5K

CRAN downloads in the past year

Rank #6,745 · ~23/day · ~706/mo

Releases R versions

Daily download trend is not available in this view yet.

53130 days

1.2K90 days

8.5K1 year

Compare downloads with other packages →

Also on77 r2u6 autocran

How downloads are counted

Repository

rebeccasalles/tspred ↗Account: RebeccaSalles

27Stars

8Forks

2Open issues

0Open PRs

0Releases

158Commits

2Commit identities

time-series-forecastnonstationaritybenchmarkingtime-series-predictionlinear-modelsmachine-learning

License file reads as GPL-3.0 · 158 commits · Last activity 2025-06-10 · 0% stars, 30d

Responsiveness

not measured

Stars over time

2025-06-23 · 252026-07-07 · 27

How these are measured

PracticesBeta

3 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/rebeccasalles/tspred on 2026-10-11.

Continuous integration (1)

Travis CI (config file)

CRAN release process (1)

cran-comments.md

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

15 external dependencies (excludes base and recommended)

Installing TSPred adds 69 packages (42 with compiled code, 43 MB of source tarballs). Heaviest: ggplot2 6.0 MB, data.table 5.7 MB, keras 3.4 MB.

Depends (1)

R >= 3.5.0

Imports (18)

forecast KFASstatsMuMIn wavelets ModelMetrics RSNNS Rlibeemd e1071 elmNNRcppnnetrandomForest magrittr plyrmethodsdplyr keras tfdatasets

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

Imports 1

Depends, Imports or LinkingTo, most downloaded first

predtoolsTS

How these are counted

Code & Tests

Datasets

People & History

People (2)

Rebecca Pontes Salles

CEFET/RJ

Eduardo Ogasawara

Thesis advisor

CEFET/RJ

Listed in earlier versions (1)

Rebecca Pontes

no longer listed · 1.0 to 5.1.1

Releases (9)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
5.1.1Latest
record
2025-06-10 · current release · diff ↗
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
5.1
record
2021-01-21 · diff ↗ ·
added 2 exports
Tensor_CNN, Tensor_LSTM
5.0
record
2021-01-09 · diff ↗ ·
removed 1 export
pattern:^[^\\.]

added 95 exports
%>%, AIC_eval, AICc_eval, AN, ARIMA, BCT, BCT.rev, BIC_eval, BoxCoxT, DIF, DIF.rev, DIFF, Diff, Diff.rev, ELM, EMD, ETS, HW, LT, LogLik_eval, LogT, LogT.rev, MAPE, MAPE_eval, MAS, MAXError, MAXError_eval, MLM, MLP, MSE and 65 more
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
4.0
record
2018-06-21 · diff ↗
R
R 3.5.0 released · 2018-04-23
R
R 3.4.0 released · 2017-04-21
3.0.2
record
2017-04-05 · diff ↗
3.0.1
record
2017-03-25 · diff ↗

Show 6 earlier eventsHide 6 earlier events

3.0
record
2017-03-17 · diff ↗
R
R 3.3.0 released · 2016-05-03
R
R 3.2.0 released · 2015-04-16
2.0
record
2015-04-08 · diff ↗
1.0
record
2015-03-30
R
R 3.1.0 released · 2014-04-10

Package metadata

First published: 2015-03-30
Total releases: 9 / 11 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 3.5.0
Bundled data: 600 KB / 20 files
Download size: 744 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("TSPred")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

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 TSPred version 5.1.1 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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