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, audio recordings, and other data, with
optional transcription of audio and translation of texts before coding
through 'DeepL', 'Google', 'Qwen-MT', or a chat model. 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: |
0.6.0 |
| Depends: |
R (≥ 3.5.0), ellmer (≥ 0.5.0) |
| Imports: |
cli, curl, digest, httr2, jsonlite, lifecycle, rlang, stats, tibble, vctrs, xml2 |
| Suggests: |
av, ggplot2, janitor, keyring, knitr, magick, rmarkdown, testthat (≥ 3.0.0), kableExtra, mockery, quanteda, quanteda.tidy, withr, yardstick |
| Published: |
2026-10-21 |
| 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:
Downloads:
Reverse dependencies:
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