Package index

Core coding functions

Functions for LLM-powered coding of qualitative data

qlm_code()

Code qualitative data with an LLM

qlm_replicate()

Replicate a coding task

qlm_codebook()

Define a qualitative codebook

Human-coded data

Convert and work with human-coded or externally coded data

as_qlm_coded()

Convert coded data to qlm_coded format

qlm_humancoded()

Convert human-coded data to qlm_coded format (deprecated)

Accessor functions

Extract and modify metadata and components from quallmer objects

accessors

Accessor functions for quallmer objects

qlm_meta() `qlm_meta<-`()

Get or set quallmer object metadata

codebook()

Extract codebook from quallmer objects

inputs()

Extract input data from qlm_coded objects

Validation and comparison

Assess reliability and validate against gold standards

qlm_validate()

Validate coded results against a gold standard

qlm_compare()

Compare coded results for inter-rater reliability

qlm_trail()

Create an audit trail from quallmer objects

Predefined codebooks

Ready-to-use codebooks for common coding tasks

data_codebook_sentiment

Sentiment analysis codebook for movie reviews

data_codebook_immigration

Immigration policy codebook based on Benoit et al. (2016)

Example data

Sample datasets for testing and examples

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_ms2020sample

Sample corpus of political speeches from Maerz & Schneider (2020)