tidyILD 0.2.0

• Power analysis: ild_power() for simulation-based power of a fixed effect (ild_simulate -> ild_lme -> Wald rejection). Uses small n_sim in examples; lmerMod inference via Wald z-approximation when p-values not from backend.
• Design and diagnostics: ild_design_check() aggregates spacing, WP/BP decomposition, missingness; ild_spacing() reports interval stats and AR1/CAR1 recommendation; ild_missing_bias() tests informative missingness; ild_center_plot() for WP/BP density plot.
• Cross-lag and person-level: ild_crosslag() (ild_lag + ild_check_lags + ild_lme); ild_person_model() and ild_person_distribution() for per-person fits and estimate distribution.
• Visualization: ild_heatmap(), ild_spaghetti() (aliases); ild_circadian() for time-of-day; ild_align() for multi-stream alignment within a time window.
• Model tidiers: augment_ild_model(), tidy_ild_model() with consistent columns across lmer/nlme; S3 print methods for diagnostics and tidy model.
• Documentation: Package help and vignettes updated; pkgdown site; analysis-report vignette. Examples use set.seed() for determinism; ild_power examples kept small (n_sim = 25).

tidyILD 0.0.1 (initial release)

• Initial CRAN release.
• Pipeline: ild_prepare(), ild_summary(), ild_center(), ild_lag() (index, gap-aware, time-window), ild_spacing_class(), ild_missing_pattern(), ild_check_lags().
• Modeling: ild_lme() (lmer or nlme with AR1/CAR1), ild_diagnostics(), ild_plot() (trajectory, gaps, missingness, fitted, residual ACF).
• Utilities: ild_simulate(), ild_manifest() / ild_bundle() for reproducibility, broom integration for ild_lme fits.
• Data: ema_example dataset.
• Vignettes: workflow, within-between decomposition and spacing, glossary and quick-start.