Changes in version 0.1.0 (2026-10-28)                  

  - First release, built on the Neudata R package template.
  - Renamed from llmCoder, which clashed with the unrelated 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.