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Changelog

Source: NEWS.md

LLMRpanel 0.6.0

Initial CRAN release.

  • panel_from_margins(), panel_from_data(), and panel_from_personas() create panels from supplied margins, microdata rows, or persona data frames. as_persona_frame() attaches question and field metadata to a data frame. Reports identify which panel source was used.
  • panel_administer() administers every item to every persona. It can randomize item and option order and records item_position and option_order. Its classed result stores response rows in $data and the panel, instrument, benchmark, and token usage in separate fields. Response rows retain response_text, response_id, success, model, and provider as columns.
  • panel_batch_submit() submits an administration to a provider’s asynchronous batch API. panel_batch_status() and panel_batch_fetch() inspect and retrieve the job. Synchronous and batch submission share the max_calls and confirm gate.
  • panel_benchmark() compares response shares with supplied human benchmarks and records benchmark coverage. plot() displays the compared shares.
  • panel_bias_audit() reports parse failures and first-option sensitivity.
  • conjoint_instrument() creates conjoint choice tasks with profiles randomized independently for each respondent. conjoint_design() returns a classed list with profile and attribute fields, and conjoint_amce() estimates from the recorded respondent-level profiles with standard errors clustered by respondent in a classed result that retains run counts as columns.
  • panel_power() calculates two-arm sample sizes from pilot dispersion.
  • run_panel_studio() provides the panel workflow in an optional Shiny application and can download responses, reports, and benchmark tables. The studio now preserves readable long-form output, presents response shares and diagnostics before technical details, carries administered responses into benchmarking and analysis, supports repeated administrations and conjoint instruments, exposes power and AMCE calculations, permits full ANES persona inspection and field selection, honors shared generation settings, and shows recorded call timing when it is available. Numbered configuration sections can be collapsed while the administration action and run plan remain in view. Persona templates and item wording have editable working defaults. Panel construction, administration, benchmark comparison, power, and AMCE actions are disabled when their known inputs are incomplete, with the unmet requirement shown beside the control. ANES construction separates sampled panels from panels made from selected respondents. Sampled panels disclose replacement sampling above the 100-respondent source size and no longer impose a 500-person GUI ceiling; selected panels require at least one respondent and ignore panel size. A blank shared maximum-output-token field now uses and displays a 512-token package default, while an explicit sidebar value takes precedence. Response text and response labels receive most of the width in display tables, internal identifiers remain available through a column control, and shares, benchmark deviations, and other double columns use concise display-only rounding.