R Observatory: Metrics for ctsfeatures version 1.2.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

ctsfeatures

1.2.2Package record

Analyzing Categorical Time Series

0packages depend

3Kdownloads / year

0.0%test coverage

11/13flavors OK

Overview

About

Maintained by Angel Lopez-OrionaCRAN page ↗

An implementation of several functions for feature extraction in categorical time series datasets. Specifically, some features related to marginal distributions and serial dependence patterns can be computed. These features can be used to feed clustering and classification algorithms for categorical time series, among others. The package also includes some interesting datasets containing biological sequences. Practitioners from a broad variety of fields could benefit from the general framework provided by 'ctsfeatures'.

Install

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

install.packages("ctsfeatures", 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-ctsfeatures

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-ctsfeatures

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-ctsfeatures

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

2NOTE11OK

Check messages

NOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc

Namespace in Imports field not imported from:
  ‘Rdpack’
All declared Imports should be used.

CRAN check page ↗

Slowest check: 1.6 min · r-oldrel-windows-x86_64

Status changes

NOTE11 OK, 2 NOTENow
NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.2.2

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 22
Examples that run: 100%16 run in a plain check
Exported functions with examples: 100%
Documented parameters: 98%
Return-value docs: 100%
Help pages citing references: 100% with a bibliography file

How these are measured

Downloads

3K

CRAN downloads in the past year

Rank #13,940 · ~8/day · ~248/mo

Releases R versions

Daily download trend is not available in this view yet.

31630 days

84790 days

3K1 year

Compare downloads with other packages →

Also on80 r2u11 autocran

How downloads are counted

Dependencies

Declared dependencies

7 external dependencies (excludes base and recommended)

Installing ctsfeatures adds 36 packages (17 with compiled code, 37 MB of source tarballs). Heaviest: BH 14 MB, ggplot2 6.0 MB, Rcpp 1.8 MB.

Depends (1)

R >= 4.0.0

Imports (6)

ggplot2 astsa latex2exp Rdpack Bolstad2 tsibble

LinkingTo (0)

none

Suggests (1)

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)

Angel Lopez-Oriona

Author, Maintainer since 1.0.0 (2023)

Jose A. Vilar

Author

Releases (5)

Pick two releases to compare their code metrics.

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
1.2.2Latest
record
2024-01-29 · current release · diff ↗
1.2.1
record
2024-01-23 · diff ↗
1.2.0
record
2024-01-22 · diff ↗
1.1.0
record
2023-10-24 · diff ↗ ·
removed 23 exports
chebycheff_dispersion, cohens_kappa, cramers_vi, cts_plot, cycle_control_chart, entropy, gini_index, gk_lambda, gk_tau, ifs_circle_transformation, marginal_control_chart, pattern_histogram, pearson_measure, phi2_measure, plot_cohens_kappa, plot_cramers_vi, rate_evolution_graph, sakoda_measure, spectral_envelope, total_correlation, total_mixed_correlation_1, total_mixed_correlation_2, uncertainty_coefficient

added 12 exports
calculate_features, calculate_motifs, calculate_subfeatures, plot_ccc, plot_cohen, plot_cramer, plot_cts, plot_ifsct, plot_mcc, plot_ph, plot_reg, plot_se
R
R 4.3.0 released · 2023-04-21
1.0.0
record
2023-02-20
R
R 4.2.0 released · 2022-04-22

Package metadata

First published: 2023-02-20
Total releases: 5 / 3 yrs
License: GPL-2 OSI
Minimum R: ≥ 4.0.0
Bundled data: 219 KB / 6 files
Download size: 292 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ctsfeatures")

Format

Lopez-Oriona, A., & A. Vilar, J. (2024). ctsfeatures: Analyzing Categorical Time Series (Version 1.2.2) [Computer software]. https://doi.org/10.32614/CRAN.package.ctsfeatures

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 ctsfeatures version 1.2.2 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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