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LLMing

1.3.0Package record

Large Language Model (LLM) Tools for Psychological Text Analysis

0packages depend
3.7Kdownloads / year
0.0%test coverage
13/13flavors OK

Overview

About

A collection of large language model (LLM) text analysis methods designed with psychological data in mind. Currently, LLMing (aka "lemming") includes a text anomaly detection method based on the angle-based subspace approach described by Zhang, Lin, and Karim (2015) and a text generation method. doi:10.1016/j.ress.2015.05.025.

Changes in 1.3.0
  • Added a NEWS.md file to track changes to the package.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 1.2 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
  • OK13 OK2026-05-02
Show 5 earlier changesHide 5 earlier changes
  • ERROR11 OK, 1 ERROR2026-04-25
  • NOTE11 OK, 3 NOTE2026-04-10
  • ERROR10 OK, 3 NOTE, 1 ERROR2026-04-09
  • NOTE11 OK, 3 NOTE2026-03-23
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.3.0
READMEYes · 50 wordsVignettesNoNEWSYes · 67% structured · mentions 1.3.0Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
14 (1 internal)includes a package overview page
Examples that run
100%1 run in a plain check
Exported functions with examples
8%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
7% with a bibliography file

Downloads

3.7K
CRAN downloads in the past year
Rank #13,669 · ~10/day · ~306/mo
Daily download trend is not available in this view yet.
27530 days
84590 days
3.7K1 year
Compare downloads with other packages →
Also on103 r2u4 autocran

Repository

0Stars
0Forks
1Open issues
0Open PRs
0Releases
Last activity 2026-08-27 · The default branch showed an older version (1.2.1) than CRAN on 2026-10-18
Responsiveness
not measured
PracticesBeta

5 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/sliplr19/llming on 2026-10-18.

Continuous integration (1)
GitHub Actions
Docs source (1)
README.Rmd
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
13 external dependencies (excludes base and recommended)

Installing LLMing adds 97 packages (52 with compiled code, 69 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)
R >= 4.1.0
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (3)
Author, Maintainer since 1.0.0 (2025)
Contributor
Releases (5)

Pick two releases to compare their code metrics.

  • 1.3.0Latest
    record
    2026-08-27 · current release · diff ↗ ·
    added 2 exports
    clean_texts, construct_validity
  • R
    R 4.6.0 released · 2026-04-24
  • 1.2.1
    record
    2026-03-27 · diff ↗ ·
    added 1 export
    text_datagen
  • 1.2.0
    record
    2026-03-22 · diff ↗
  • 1.1.0
    record
    2026-01-08 · diff ↗
  • 1.0.0
    record
    2025-10-21
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-10-21
Total releases
5 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.1.0
Download size
35 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("LLMing")
Slipetz, L., Henry, T., & Sun, S. (2026). LLMing: Large Language Model (LLM) Tools for Psychological Text Analysis (Version 1.3.0) [Computer software]. https://doi.org/10.32614/CRAN.package.LLMing

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for LLMing version 1.3.0 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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