R Observatory: Metrics for actfts version 0.3.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

actfts

0.3.0Package record

Autocorrelation Tools Featured for Time Series

0packages depend

3Kdownloads / year

65.9%test coverage

13/13flavors OK

Overview

About

Maintained by Sergio SierraCRAN page ↗GitHub ↗Website ↗Issues ↗

The 'actfts' package provides tools for performing autocorrelation analysis of time series data. It includes functions to compute and visualize the autocorrelation function (ACF) and the partial autocorrelation function (PACF). Additionally, it performs the Dickey-Fuller, KPSS, and Phillips-Perron unit root tests to assess the stationarity of time series. Theoretical foundations are based on Box and Cox (1964) doi:10.1111/j.2517-6161.1964.tb00553.x, Box and Jenkins (1976) <isbn:978-0-8162-1234-2>, and Box and Pierce (1970) doi:10.1080/01621459.1970.10481180. Statistical methods are also drawn from Kolmogorov (1933) doi:10.1007/BF00993594, Kwiatkowski et al. (1992) doi:10.1016/0304-4076(92)90104-Y, and Ljung and Box (1978) doi:10.1093/biomet/65.2.297. The package integrates functions from 'forecast' (Hyndman & Khandakar, 2008) https://CRAN.R-project.org/package=forecast, 'tseries' (Trapletti & Hornik, 2020) https://CRAN.R-project.org/package=tseries, 'xts' (Ryan & Ulrich, 2020) https://CRAN.R-project.org/package=xts, and 'stats' (R Core Team, 2023) https://stat.ethz.ch/R-manual/R-devel/library/stats/html/00Index.html. Additionally, it provides visualization tools via 'plotly' (Sievert, 2020) https://CRAN.R-project.org/package=plotly and 'reactable' (Glaz, 2023) https://CRAN.R-project.org/package=reactable. The package also incorporates macroeconomic datasets from the U.S. Bureau of Economic Analysis: Disposable Personal Income (DPI) https://fred.stlouisfed.org/series/DPI, Gross Domestic Product (GDP) https://fred.stlouisfed.org/series/GDP, and Personal Consumption Expenditures (PCEC) https://fred.stlouisfed.org/series/PCEC.

Install

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

install.packages("actfts", 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("SergioFinances/actfts")

Development version from SergioFinances/actfts. 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-actfts

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-actfts

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-actfts

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: 2.4 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 0.3.0

READMEYes · 205 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.3.0Citation fileNoWebsiteYes · pkgdown

Help pages: 5 (1 internal)includes a package overview page
Examples that run: 100%1 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 60%

Vignettes (1)

actfts

How these are measured

Downloads

3K

CRAN downloads in the past year

Rank #12,462 · ~8/day · ~252/mo

Releases R versions

Daily download trend is not available in this view yet.

29230 days

90190 days

3K1 year

Compare downloads with other packages →

Also on91 r2u27 autocran

How downloads are counted

Repository

sergiofinances/actfts ↗Account: SergioFinances

1Stars

1Forks

0Open issues

0Open PRs

0Releases

97Commits

2Commit identities

97 commits · Last activity 2025-03-04 · 0% stars, 30d

Responsiveness

not measured

Stars over time

2024-08-23 · 12026-07-07 · 1

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/sergiofinances/actfts on 2026-10-21.

Continuous integration (1)

GitHub Actions

Docs source (4)

README.Rmdpkgdown

GitHub Pages site last deployed 2025-03-04 · The repository has a site deploy workflow

Reproducibility and dev environment (1)

data-raw/

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Show all practicesHide 1 practice

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

11 external dependencies (excludes base and recommended)

Installing actfts adds 81 packages (48 with compiled code, 73 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)

R >= 2.10

Imports (8)

openxlsx plotly reactable tseries xtsstatsforecast lifecycle

LinkingTo (0)

none

Suggests (4)

dplyr knitr rmarkdown testthat

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 (2)

Sergio Sierra

Author, Maintainer since 0.3.0 (2025)

David Rodríguez

Author, Copyright holder

Releases (1)

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
0.3.0Latest
record
2025-03-06 · current release
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2025-03-06
Total releases: 1 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 2.10
Bundled data: 10 KB / 3 files
Download size: 1.2 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("actfts")

Format

Sierra, S., & Rodríguez, D. (2025). actfts: Autocorrelation Tools Featured for Time Series (Version 0.3.0) [Computer software]. https://doi.org/10.32614/CRAN.package.actfts

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for actfts version 0.3.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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