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llmcoder package on CRAN. The new name describes what the
package measures: the gap between what people say and what they do. If
you installed the GitHub version, reinstall with
remotes::install_github("neu-data/saydo"), and note that
the attributes stored on coded data are now saydo_codebook
and saydo_id.llm_auto_code() applies a codebook to text with any
‘ellmer’ chat, or a custom coder function. Each text is coded in its own
conversation, and the first request is sent alone so key, credit or
model errors fail fast.code_agreement() compares LLM codes with human codes:
percent agreement, Cohen’s kappa with a confidence interval, precision,
recall and F1.cross_tab_themes() tests whether a numeric metric
differs when each theme is present (Welch’s t-test, Benjamini-Hochberg
adjustment), and can aggregate segment-level codes to participants
before joining metrics.plot_theme_impact() plots the metric difference per
theme with confidence intervals, in Neudata colours.mock_mixed_data() and mock_coder() let the
whole workflow run offline.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.