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effectcheck 0.2.3

New features

• User configuration: New cross_type_action, ci_affects_status, and plausibility_filter parameters for check_text().
• Plausibility bounds: Implausibly large effect sizes (e.g., d > 10, r > 1) flagged via extraction_suspect column. Configurable via EFFECT_PLAUSIBILITY in constants.
• Effect size families: OR, RR, IRR, h added to EFFECT_SIZE_FAMILIES.
• Completeness: Cohen’s f² = r²/(1-r²) for r-tests.
• Beginner-friendly UI: Legend, tooltips, plain English verdicts, narrative report mode in frontend.
• Paste-text input: Direct text input mode in frontend.

Bug fixes

• Fixed F→t conversion missing Hedges’ g variant (g_ind).
• Added d_ind_min/d_ind_max bounds for F-test conversions.
• Fixed chi-square inline N parsing and multi-stat sentence handling.
• Fixed section-number false positives in p-value extraction.
• Fixed ns (non-significant) notation parsing.

API changes

• Options forwarding in plumber.R via do.call().
• Summary and version fields included in all API responses.

effectcheck 0.2.2

Bug fixes

• Cross-type matching: Best match now selected across effect size types, reducing false ERROR rate from 47.6% to ~10%.
• Paired N fix: Paired designs no longer double the sample size incorrectly.
• NOTE→PASS: Results matching within tolerance now correctly report PASS instead of NOTE.
• check_type column: Added to output for transparency in variant matching.
• extraction_suspect flag: Extreme deltas flagged for manual review.

New features

• SKIP status: Extraction-only results (no p-value or effect size to verify) now get status “SKIP” instead of misleading WARN.
• Universal tail fallback: Phase 9 tries both one-tailed and two-tailed when decision error occurs, resolving to NOTE with explanation.
• Two-tailed detection: New two_tailed_detected flag overrides one-tailed when both present in text.
• Method context detection: method_context_detected flag suppresses decision_error for p-curve, equivalence test, TOST contexts.
• N candidates for r-tests: Multiple N values extracted from context; best match selected with assumption note.
• One-tailed scope fix: one_tailed_detected now searches chunk only, preventing cross-chunk bleeding.
• Garbled p-value detection: p-values like p < 0.645 flagged as extraction_suspect.

effectcheck 0.2.1

Bug fixes

• Fixed thousands-separator N parsing (e.g., N = 1,182 no longer misread as N = 1).
• Fixed Welch t-test N estimation.
• Removed officer dependency; DOCX extraction via pandoc only.
• Fixed DOCX segfault crash.

Improvements

• Cold start progress indicator for Render free tier.
• Page-load health check and server status banner for classroom use.
• Paste-text input mode.
• Parser robustness: 7 fixes from AI verification testing across 12 journal styles.

CRAN-related

• Fixed invalid URI, APA spelling, broadened package scope description.
• Fixed effectcheck namespace refs for shinyapps.io deployment.
• Removed pdftools dependency.
• Added development disclaimers throughout package and app.

effectcheck 0.2.0

New features

• Nonparametric tests: Mann-Whitney U, Wilcoxon W, and Kruskal-Wallis H test parsing and effect size computation (rank-biserial r, Cliff’s delta, epsilon-squared, Kendall’s W).
• Regression support: b/SE coefficient parsing, t = b/SE verification, regression type inference, standardized beta computation.
• HTML report generation: generate_report() produces self-contained HTML reports with executive summary, color-coded rows, and interactive tables. render_report() provides a convenience wrapper. PDF fallback available.
• CSV and JSON export: export_csv() and export_json() for machine-readable output.
• statcheck comparison: compare_with_statcheck() and compare_file_with_statcheck() for side-by-side comparison with statcheck results.
• Variant helper functions: get_variants(), get_same_type_variants(), get_alternatives(), format_variants(), compare_to_variants(), get_variant_metadata(), get_effect_family().

Bug fixes

• Fixed missing r p-value computation.
• Fixed missing CI for paired designs (ci_dz).
• Corrected eta-squared CI formula (partial eta-squared).
• Fixed MBESS ci.sm -> ci.smd call.
• Fixed drm_from_dz formula.
• Fixed Cohen’s f regex false positives.
• z-test pattern now checked last to avoid capturing auxiliary z-values from U/W tests.

Parser improvements

• Ultra-robust Unicode normalization (186+ character mappings).
• PDF column interleaving handled via pdftotext.
• Sub-chunking for multi-stat sentences.
• Greenhouse-Geisser corrected df support.
• Comprehensive handling of PDF extraction artifacts.

effectcheck 0.1.0

• Initial release.
• Support for t-tests, F-tests/ANOVA, correlations (r), chi-square, and z-tests.
• APA-style parsing from text, PDF, HTML, and DOCX documents.
• Conservative variant-matching approach computing all plausible effect sizes.
• statcheck-compatible API (checkPDF, checkHTML, checkPDFdir, etc.).
• Decision error detection (significance reversals).
• S3 class with print, summary, and plot methods.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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