R Observatory: Metrics for fastTS version 1.0.3

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

fastTS

1.0.3Package record

Fast Time Series Modeling for Seasonal Series with Exogenous Variables

0packages depend

3.5Kdownloads / year

98.7%test coverage

13/13flavors OK

Overview

About

Maintained by Ryan Andrew PetersonCRAN page ↗GitHub ↗Website ↗Issues ↗

An implementation of sparsity-ranked lasso and related methods for time series data. This methodology is especially useful for large time series with exogenous features and/or complex seasonality. Originally described in Peterson and Cavanaugh (2022) doi:10.1007/s10182-021-00431-7 in the context of variable selection with interactions and/or polynomials, ranked sparsity is a philosophy with methods useful for variable selection in the presence of prior informational asymmetry. This situation exists for time series data with complex seasonality, as shown in Peterson and Cavanaugh (2024) doi:10.1177/1471082X231225307, which also describes this package in greater detail. The sparsity-ranked penalization methods for time series implemented in 'fastTS' can fit large/complex/high-frequency time series quickly, even with a high-dimensional exogenous feature set. The method is considerably faster than its competitors, while often producing more accurate predictions. Also included is a long hourly series of arrivals into the University of Iowa Emergency Department with concurrent local temperature.

Changes in 1.0.3

Fixing issue #4

From NEWS.md in the release

Install

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

install.packages("fastTS", 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("petersonR/fastTS")

Development version from petersonR/fastTS. 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-fastts

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-fastTS

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-fastTS

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: 10.2 min · r-release-macos-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 1.0.3

READMEYes · 233 wordsVignettesYes · 3 · dynamicNEWSYes · 100% structured · mentions 1.0.3Citation fileYes · cites a publicationWebsiteYes · pkgdown

Help pages: 5
Examples that run: 100%2 run in a plain check
Exported functions with examples: 50%
Documented parameters: 86%
Return-value docs: 50%
Help pages citing references: 20%

Vignettes (3)

Forecasting with fastTS HTML
Simple Case Studies HTML
Time Series Modeling with Multiple Modes HTML

How these are measured

Downloads

3.5K

CRAN downloads in the past year

Rank #12,692 · ~10/day · ~290/mo

Releases R versions

Daily download trend is not available in this view yet.

35730 days

88690 days

3.5K1 year

Compare downloads with other packages →

Also on111 r2u2 autocran

How downloads are counted

Repository

petersonr/fastts ↗Account: petersonR

5Stars

0Forks

3Open issues

0Open PRs

5Releases

64Commits

1Commit identities

License file reads as GPL-3.0 · 64 commits · Last activity 2025-11-29

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 44
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2025-02-13 · 52026-07-07 · 5

How these are measured

PracticesBeta

9 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/petersonr/fastts on 2026-10-22.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (4)

README.Rmdpkgdown

GitHub Pages site last deployed 2025-11-29 · The repository has a site deploy workflow

pkgdown site last built 2025-11-29, before release 1.0.3 (2025-12-01)

Coverage (1)

Coverage reporting (Codecov)

CRAN release process (1)

cran-comments.md

Show all practicesHide 1 practice

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v4 (2026-10-20)

AI coding toolsBeta

This repository has an AI review tool set up.

Review tools

Copilot code review
Commits: at least 3 accepting its review suggestions

Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

12 external dependencies (excludes base and recommended)

Installing fastTS adds 20 packages (13 with compiled code, 7.7 MB of source tarballs). Heaviest: yardstick 1.6 MB, vctrs 1.0 MB, dplyr 902 KB.

Depends (1)

R >= 3.5

Imports (6)

dplyrmethodsncvreg RcppRoll rlang yardstick

LinkingTo (0)

none

Suggests (7)

covr kableExtra knitr magrittr rmarkdown testthat (>= 3.0.0)tibble

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (1)

Ryan Andrew Peterson

Releases (5)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
1.0.3Latest
record
2025-12-02 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
1.0.2
record
2024-12-02 · diff ↗
R
R 4.4.0 released · 2024-04-24
1.0.1
record
2024-03-28 · diff ↗
1.0.0
record
2024-03-07 · diff ↗ ·
added 1 export
penalty_scaler
0.1.2
record
2024-02-07
R
R 4.3.0 released · 2023-04-21

Package metadata

First published: 2024-02-07
Total releases: 5 / 2 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 3.5
Bundled data: 94 KB / 1 file
Download size: 396 KB

Appears in task views

Time Series Analysis

Cite

Cite this package

Run in R for the authors' entry:

citation("fastTS")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1177/1471082x231225307.

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 fastTS version 1.0.3 [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.

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