R: Qualitative Analysis with Large Language Models

# Qualitative Analysis with Large Language Models

## Documentation for package ‘quallmer’ version 0.4.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

accessors | Accessor functions for quallmer objects
as_qlm_coded | Convert coded data to qlm_coded format
as_qlm_coded.data.frame | Convert coded data to qlm_coded format
as_qlm_coded.default | Convert coded data to qlm_coded format
data_codebook_immigration | Immigration policy codebook based on Benoit et al. (2016)
data_codebook_sentiment | Sentiment analysis codebook for movie reviews
data_corpus_LMRDsample | Sample from Large Movie Review Dataset (Maas et al. 2011)
data_corpus_manifsentsUK2010sample | Sample of UK manifesto sentences 2010 crowd-annotated for immigration
data_corpus_MPexamples | Manifesto Project example manifestos and gold-standard segmentation
data_corpus_MPexamplesseg | Manifesto Project example manifestos and gold-standard segmentation
data_corpus_ms2020sample | Sample corpus of political speeches from Maerz & Schneider (2020)
qlm_code | Code qualitative data with an LLM
qlm_codebook | Define a qualitative codebook
qlm_compare | Compare coded results for inter-rater reliability
qlm_meta | Get or set quallmer object metadata
qlm_meta<- | Get or set quallmer object metadata
qlm_replicate | Replicate a coding task
qlm_segment | Segment texts using an LLM
qlm_trail | Create an audit trail from quallmer objects
qlm_validate | Validate coded results against a gold standard