# factorH 0.6.0

* Added `as_jamovi_srh_full()` to normalize `srh.kway.full()` output into a Jamovi-ready/backend-ready list structure.
* Expanded `srh.kway.full()`:
  * added `type = 2/3`,
  * added `scope = c("within", "global")` for simple-effects Bonferroni handling,
  * for 2-factor designs, `type = 2` keeps the original SRH-style path via `srh.effsize()`,
  * for 2-factor designs, `type = 3` routes the ANOVA step through `srh.kway()`,
  * added design diagnostics and warnings in `meta`.
* Improved robustness of `srh.simple.posthoc()` / `srh.simple.posthocs()` for sparse or incomplete designs by skipping splits with fewer than two observed levels of the compared factor.
* Updated TSV export so that `write.srh.kway.full.tsv()` writes current `meta` information, including `scope`, design diagnostics, and warnings.
* Expanded package documentation and examples to reflect the new pipeline options and Jamovi helper.

# factorH 0.5.0

* Added an option in srh.kway to enable Type III sums of squares. srh.kway now supports Type III sums of squares (enable with type = 3).
* Added ANOVA condition testing functions, including a single-function full pipeline to all factorial conditions plan.diagnostics()

# factorH 0.4.0

* Submission comment: DOI reference updated, solution posted as https://stackoverflow.com/a/79758537/7751099
* Submission comment: misspelled words checked - they are correct, despite suggestions.
* Submission comment: writing issues (with automatic scanning) may concern the R/write.srh.kway.full.tsv.R function, which saves the research result report. This is the main purpose of this function, but a) the user calls it and indicates where to save it; b) the function doesn't write anything on the fly to anything other than variables in memory.
* no other updates

# factorH 0.3.0

* DOI reference removed, APA article reference added instead.

# factorH 0.2.0

* Misspelled words checked - they are correct, despite suggestions.

# factorH 0.1.0

* Initial CRAN submission.