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estimatr::lm_robust() for clustering and standard errors.reshape_projoint() overhaul: now robust to arbitrary base-task orders, infers the repeated base task from the first base outcome, and requires the repeated outcome to be the last element of .outcomes.bibentry(), avoid install-time lookups).Author: alongside Authors@R..irr is user-specified..irr is fixed.Author: exactly with CRAN’s derived Authors@R format (names and ORCID link formatting) to remove NOTE.Author and Authors@R fields, as requested by CRAN.pj_estimate() to automatically set the appropriate standard-error option (se_type) depending on clustering and estimation method.\value{} sections describing return values.DESCRIPTION to highlight both profile-level and choice-level estimators, IRR correction, and visualization.reshape_projoint() docs (\textrightarrow macro removed).summary(), plot(), and print() methods to match CRAN policies.This release addresses all issues raised in the CRAN review and includes several small improvements and documentation updates.
authors (year) <https://...>. projoint_data()) with runnable toy examples. projoint_tau(), plot_projoint_profile_level()) using @noRd. plot.projoint_results.Rd. R CMD check --as-cran runs cleanly with 0 errors, 0 warnings, and 2 expected NOTES (package size and timestamps).reshape_projoint()'' to handle repeated-task reshaping more robustly when tasks/outcomes are not in a simple 1..T order. The function now standardizes the mapping between the last outcome (the repeated measure) and the inferred base task, reducing misalignment in thetask'' variable for some inputs.reshape_projoint()'' into a dedicated source file (R/reshape_projoint.R'') with no changes to the exported function name or arguments.Any scripts or data that you put into this service are public.
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