projoint 0.1.0 (2025-02-05)

• Initial release.

projoint 0.2.0 (2025-04-20)

• Minor bug fixes and documentation improvements.
• Major redesign of the website, including improved vignettes and a clearer step-by-step tutorial structure.
• Fixed input validation for specifying inter-rater reliability (IRR), ensuring that IRR values must be between 0.5 and 1.

projoint 0.3.0 (2025-08-17)

• Robust SEs & clustering: fixes to variance options; users can now pass arguments supported by 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.

projoint 0.3.1 (2025-08-18)

• Bug fix for minor issue.
  
• Vignettes extended to illustrate additional choice-level analyses.

projoint 1.0.0 (2025-08-19)

• Initial CRAN release

projoint 1.0.1 (2025-08-19)

• Fix CITATION: switched from citEntry() to bibentry().
• Fixed README links (absolute URLs).
• Added Depends: R (>= 4.1.0).
• Removed duplicate Author field.
• Added cran-comments.md to .Rbuildignore.

projoint 1.0.2 (2025-08-21)

• CRAN resubmission: fix CITATION (use bibentry(), avoid install-time lookups).
• README: replace relative URLs; fix broken BibTeX link (use GitHub raw URL).
• DESCRIPTION: add aligned Author: alongside Authors@R.
• Bug fix: correct error message when .irr is user-specified.
• Robustness: skip IRR estimation (sim/boot) when .irr is fixed.
• Docs: new vignette “Explore” and corresponding README/pkgdown links.

projoint 1.0.3 (2025-08-21)

• DESCRIPTION: aligned Author: exactly with CRAN’s derived Authors@R format (names and ORCID link formatting) to remove NOTE.

projoint 1.0.4 (2025-08-21)

• Fixed DESCRIPTION metadata mismatch between Author and Authors@R fields, as requested by CRAN.

projoint 1.0.5 (2025-09-10)

Improvements

• Revised pj_estimate() to automatically set the appropriate standard-error option (se_type) depending on clustering and estimation method.
• Expanded documentation across functions:
  • All exported methods now include \value{} sections describing return values.
  • Clearer examples for choice-level analysis; removed commented-out code.
  • Improved description in DESCRIPTION to highlight both profile-level and choice-level estimators, IRR correction, and visualization.
• Updated README and pkgdown site to emphasize choice-level analysis as the default and recommended framework.

Bug fixes

• Fixed reshape_projoint() docs (\textrightarrow macro removed).
• Standardized return values for summary(), plot(), and print() methods to match CRAN policies.

projoint 1.0.6 (2025-10-24)

CRAN maintenance update

This release addresses all issues raised in the CRAN review and includes several small improvements and documentation updates.

Changes and fixes

• DESCRIPTION: References now follow the required format authors (year) <https://...>.
  
• Examples: Removed commented-out code and replaced examples of unexported functions (projoint_data()) with runnable toy examples.
  
• Internal helpers: Suppressed documentation for unexported internal functions (projoint_tau(), plot_projoint_profile_level()) using @noRd.
  
• Cross-references: Fixed a missing link warning in plot.projoint_results.Rd.
  
• make_projoint_data(): Fixed a minor error affecting input validation.
  
• Vignettes and website: Revised and expanded for clarity, examples, and reproducibility.

Notes

• R CMD check --as-cran runs cleanly with 0 errors, 0 warnings, and 2 expected NOTES (package size and timestamps).

projoint 1.1.0 (2026-02-16)

Bug fixes

• Fixed 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.

Improvements

• Added stricter input/design validation in ``reshape_projoint()’’:
  • Checks that each base task contains exactly the two expected profiles (1 and 2) in the K-code design and aborts with an informative message otherwise.
  • When ``.repeated = TRUE’’, checks that each respondent provides the expected number of outcomes and aborts if repeated outcomes are missing.

Internal changes

• Refactored the implementation of reshape_projoint()'' into a dedicated source file (R/reshape_projoint.R’’) with no changes to the exported function name or arguments.

projoint 1.1.1

Bug fixes

• Fixed issue in organize_data() where profile-varying columns (e.g., selected_repeated) were incorrectly included in pivot_wider(id_cols), which could drop respondent-level covariates (e.g., weights) and cause .weights_2 to fail in choice_level estimation.
• Improved cross-attribute pairing logic in choice-level QOI filtering.
• Added regression tests for .weights_1 and .weights_2.