R Observatory: Metrics for lagdynamics version 0.32

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

lagdynamics

0.32Package record

Lag Sequential Analysis, Dynamics, and Lag Transition Networks

0packages depend

771downloads / year

89.4%test coverage

13/13flavors OK

Overview

About

Maintained by Mohammed SaqrCRAN page ↗GitHub ↗Issues ↗

A modern, tidy toolkit for lag sequential analysis and lag transition networks of categorical event and sequence data. It provides an accessible, unified workflow for fitting, inspecting, visualising, and comparing lagged transition patterns, with tidy outputs throughout. Includes confirmatory tools for uncertainty, robustness, and group differences, including bootstrap intervals, analytic certainty, split-half reliability, case-drop stability, permutation tests, and Bayesian group comparisons. Supports long-format event-log import, import from common sequence and state-sequence objects, multi-lag analysis, structural-zero constraints, transition and initial probabilities, plotting of transition structures, and a directed transfer-entropy measure. The lag sequential analysis framework follows Sackett and others (1979) doi:10.3758/BF03205679.

Changes in 0.32

New features

transitions() now reads inference results, not only fitted models. It accepts the output of bootstrap_lsa(), certainty_lsa(), stability_lsa(), permute_lsa(), compare_lsa(), bayes_compare_lsa() and lsa_lags(), and returns the same tidy one-row-per-transition data frame. significant = TRUE keeps the transitions the method itself flags, and sort = "strength" orders them by that method's signed effect. Previously the per-transition table of an inference result was reachable only through as.data.frame(), because the print methods show a header summary alone.
The transitions() generic is now transitions(fit, ...), so each class declares only the arguments backed by columns it actually has. Existing calls on a fit are unaffected.

Show all changes in 0.32Hide the rest of the changes in 0.32

Documentation

Vignettes restore the user's options() after changing digits, as CRAN requires.
Vignettes read every result with transitions() rather than coercing it with as.data.frame(), and select rows with the significant argument rather than subsetting.
Removed the citations, reference lists, DOIs, documentation URLs and linked author metadata that 0.31 added to the shipped vignettes.

From NEWS.md in the release

Install

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

install.packages("lagdynamics", 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("mohsaqr/lagdynamics")

Development version from mohsaqr/lagdynamics. 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-lagdynamics

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-lagdynamics

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-lagdynamics

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: 8.2 min · r-oldrel-macos-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK7 OK2026-07-22

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.32

READMEYes · 480 wordsVignettesYes · 7 · dynamicNEWSYes · 100% structured · mentions 0.32Citation fileNo

Help pages: 39 (1 internal)includes a package overview page
Examples that run: 71%27 run in a plain check (1 of them under a condition) · 11 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 100%
Documented parameters: 96%
Return-value docs: 100%
Help pages citing references: 23%

Vignettes (7)

How these are measured

Downloads

771

CRAN downloads in the past year

Rank #21,053 · ~2/day · ~64/mo

Releases R versions

Daily download trend is not available in this view yet.

20530 days

63790 days

7711 year

Compare downloads with other packages →

Also on13 r2u6 autocran

How downloads are counted

Repository

mohsaqr/lagdynamics ↗Account: mohsaqr

1Stars

1Forks

0Open issues

0Open PRs

0Releases

34Commits

1Commit identities

34 commits · Last activity 2026-10-16

Responsiveness

not measured

Forks over time

2026-07-22 · 02026-08-20 · 1

How these are measured

PracticesBeta

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

Checks run against github.com/mohsaqr/lagdynamics on 2026-10-21.

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 (3)

pkgdown

GitHub Pages site last deployed 2026-10-16 · The repository has a site deploy workflow

Reproducibility and dev environment (1)

data-raw/

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

AI coding toolsBeta

This repository shows signs of AI coding tools.

Claude Codefirst seen on or before 2026-05-13
Named in .Rbuildignore: .claude
Named in .gitignore: CLAUDE.md
Commits: at least 1 crediting it in the message

Models named in its commits

Claude Opus 5.51 commit · Oct 2026

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

7 external dependencies (excludes base and recommended)

Installing lagdynamics adds 18 packages (7 with compiled code, 16 MB of source tarballs). Heaviest: ggplot2 6.0 MB, cograph 2.0 MB, isoband 1.5 MB.

Depends (1)

R >= 4.1.0

Imports (6)

cograph ggplot2grDevicesgridstatsutils

LinkingTo (0)

none

Suggests (5)

testthat Nestimate tna knitr rmarkdown

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)

Mohammed Saqr

Sonsoles López-Pernas

Author

Releases (1)

0.32Latest
record
2026-07-21 · current release
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-07-21
Total releases: 1 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1.0
Bundled data: 138 KB / 4 files
Download size: 4.3 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("lagdynamics")

Format

Saqr, M., & López-Pernas, S. (2026). lagdynamics: Lag Sequential Analysis, Dynamics, and Lag Transition Networks (Version 0.32) [Computer software]. https://doi.org/10.32614/CRAN.package.lagdynamics

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 lagdynamics version 0.32 [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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