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()

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