quallmer: Qualitative Analysis with Large Language Models

Tools for AI-assisted qualitative data coding using large language models ('LLMs') via the 'ellmer' package, supporting providers including 'OpenAI', 'Anthropic', 'Google', 'Azure', and local models via 'Ollama'. Provides a 'codebook'-based workflow for defining coding instructions and applying them to texts, images, and other data. Includes built-in 'codebooks' for common applications such as sentiment analysis and policy coding, and functions for creating custom 'codebooks' for specific research questions. Supports systematic replication across models and settings, computing inter-coder reliability statistics including Krippendorff's alpha (Krippendorff 2019, <doi:10.4135/9781071878781>) and Fleiss' kappa (Fleiss 1971, <doi:10.1037/h0031619>), as well as gold-standard validation metrics including accuracy, precision, recall, and F1 scores following Sokolova and Lapalme (2009, <doi:10.1016/j.ipm.2009.03.002>). Provides audit trail functionality for documenting coding workflows following Lincoln and Guba's (1985, ISBN:0803924313) framework for establishing trustworthiness in qualitative research.

Version:	0.3.0
Depends:	R (≥ 3.5.0), ellmer (≥ 0.4.0)
Imports:	cli, dplyr, tidyr, digest, irr, lifecycle, rlang, stats, yardstick
Suggests:	ggplot2, janitor, knitr, rmarkdown, testthat (≥ 3.0.0), kableExtra, mockery, quanteda, quanteda.tidy, tibble, withr
Published:	2026-02-16
DOI:	10.32614/CRAN.package.quallmer
Author:	Seraphine F. Maerz [aut, cre], Kenneth Benoit [aut]
Maintainer:	Seraphine F. Maerz <seraphine.maerz at unimelb.edu.au>
License:	GPL-3
URL:	https://quallmer.github.io/quallmer/
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	quallmer results

Documentation:

Reference manual:	quallmer.html , quallmer.pdf
Vignettes:	Getting started with quallmer (source, R code)

Downloads:

Package source:	quallmer_0.3.0.tar.gz
Windows binaries:	r-devel: quallmer_0.3.0.zip, r-release: quallmer_0.3.0.zip, r-oldrel: quallmer_0.3.0.zip
macOS binaries:	r-release (arm64): quallmer_0.3.0.tgz, r-oldrel (arm64): quallmer_0.3.0.tgz, r-release (x86_64): quallmer_0.3.0.tgz, r-oldrel (x86_64): not available

Linking:

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