ankiR 0.6.0

Major New Features

Monte Carlo Forecasting (NEW)

• anki_forecast_monte_carlo() - Forecast using bootstrap simulation with 3 methods:
  • weekday: Preserves day-of-week patterns (recommended)
  • block: Preserves temporal sequences
  • simple: Independent sampling
• anki_plot_monte_carlo() - Visualize forecasts with confidence bands and simulation traces
• anki_compare_forecasts() - Compare Monte Carlo vs statistical methods (ARIMA, Holt-Winters)
• Features: empirical confidence intervals, probability queries (prob_above(), prob_below()), handles irregular study habits

Burnout Detection & Review Quality (NEW)

• anki_burnout_detection() - Detect warning signs: declining retention, increasing response time, shorter sessions, more lapses
• anki_review_quality() - Detect pattern clicking, rushed reviews, suspicious timing, review bunching

Cohort Analysis & Learning Velocity (NEW)

• anki_cohort_analysis() - Compare card performance by when added (vintage analysis)
• anki_learning_velocity() - Track cards/day, acceleration/deceleration, retention trends
• anki_backlog_calculator() - Calculate time to clear backlog, project backlog growth if you stop

Gamification (NEW)

• anki_gamification() - XP system, levels (Novice to Grandmaster), 22 achievements, weekly goals

Streak Analytics (NEW)

• anki_streak_analytics() - Best streaks, recovery time after breaks, weekend patterns, survival curves

Card Content Analysis (NEW)

• anki_card_content() - Word count, cloze density, complexity score, media usage, complexity vs retention

A/B Comparison (NEW)

• anki_ab_comparison() - Compare retention by note type, deck, tag, or creation period
• anki_compare_groups() - Statistical comparison of two groups with significance testing

Addon Integration (NEW)

• import_addon_export() - Import JSON exports from ankiR Stats addon
• analyze_addon_import() - Analyze imported addon data

Learning Efficiency Analysis

• anki_learning_efficiency() - Calculate learning ROI (successful retention per time, efficiency ratio, learning points per minute)
• anki_retention_by_type() - Break down retention by card characteristics (cloze vs basic, with/without media, by length, by note type)
• anki_roi_analysis() - Calculate knowledge half-life extension per study minute, cumulative retention value

Forgetting Curve Analysis

• anki_fit_forgetting_curve() - Fit power law forgetting curve to actual review data, compare to FSRS defaults
• anki_plot_forgetting_curve() - Visualization comparing fitted curve to FSRS default with confidence intervals

Optimal Review Timing

• anki_best_review_times() - Analyze retention/performance by hour and weekday, identify best/worst times
• anki_session_analysis() - Identify discrete study sessions, analyze duration/retention/fatigue patterns
• anki_simulate_session() - Given time budget, predict cards completed and expected retention

Sibling & Interference Analysis

• anki_sibling_analysis() - Analyze how sibling cards affect each other’s retention, statistical testing
• anki_interference_analysis() - Detect cards frequently confused (co-failure patterns, content similarity)
• anki_weak_areas() - Identify tags/decks with lowest retention or highest lapse rates

Actionable Recommendations

• anki_card_recommendations() - Generate recommendations for leeches, unsuspend candidates, cards to retire
• anki_health_check() - Comprehensive health check with 0-100 score (orphan cards, leech rates, missing FSRS)
• anki_summary() - One-liner overview (total cards, mature cards, due today, streak, retention)
• anki_today() - Today’s activity summary with breakdown by ease button

Extended FSRS Analysis

• fsrs_compare_parameters() - Compare your FSRS parameters against defaults, flag significant differences
• fsrs_decay_distribution() - Analyze FSRS-6 per-card decay parameter distribution (requires Anki 24.11+)
• fsrs_memory_states() - Calculate current FSRS memory state for all cards with future projections
• anki_response_time_outliers() - Find reviews with suspicious times (too fast or too slow)

Academic/Exam Preparation Tools

• anki_exam_readiness() - Project completion and retention before exam date, assess risk level
• anki_coverage_analysis() - Show percentage complete/mature/retained by topic
• anki_study_priorities() - Identify which topics should be prioritized
• anki_study_plan() - Generate daily study plan based on exam date and available time

Additional Export Formats

• anki_to_obsidian_sr() - Export to Obsidian Spaced Repetition plugin format
• anki_to_mochi() - Export to Mochi Cards JSON format
• anki_to_json() - Full collection as structured JSON for web dashboards
• anki_progress_report() - Generate shareable HTML or Markdown progress report

Enhanced Search

• anki_search_enhanced() - Advanced search with added:, rated:, note:, card:, prop:, re: and OR operators
• anki_find_similar() - Find similar cards using TF-IDF, Jaccard, or n-gram similarity

Enhanced Forecasting

• anki_forecast_enhanced() - ARIMA, seasonal, and Holt-Winters forecasting with workload ceilings
• anki_workload_projection() - Rough workload estimates with scenario comparison (for accurate FSRS simulation, use Anki’s built-in simulator or FSRS Helper add-on)
• anki_retention_stability() - Analyze how stable your retention is over time

Utilities

• anki_schema_version() - Detect Anki database schema version for compatibility debugging
• anki_quick_summary() - Get a one-liner overview of your collection
• anki_today() - Detailed breakdown of today’s Anki activity

Removed (use r-fsrs instead)

The following algorithm functions were removed - ankiR focuses on reading/analyzing data, not implementing FSRS. For FSRS algorithm, use r-fsrs: * fsrs_retrievability() - use fsrsr::fsrs_retrievability() * fsrs_interval() - use fsrsr::fsrs_next_interval() * fsrs_simulate() - use Anki’s built-in simulator * fsrs_simulate_new_deck() - use Anki’s built-in simulator * fsrs_time_to_mastery() - use Anki’s built-in simulator * fsrs_review_burden() - use Anki’s built-in simulator * fsrs_workload_estimate() - use Anki’s built-in simulator * fsrs_optimal_new_rate() - use Anki’s built-in simulator

ankiR 0.5.0

New Features

Visualization Functions

• anki_plot_heatmap() - Calendar heatmap of review activity
• anki_plot_retention() - Retention rate over time with rolling average
• anki_plot_forecast() - Workload forecast chart
• anki_plot_difficulty() - FSRS difficulty distribution histogram
• anki_plot_intervals() - Card interval distribution
• anki_plot_stability() - FSRS stability distribution
• anki_plot_hours() - Reviews by hour of day
• anki_plot_weekdays() - Reviews by day of week

Comparative Analysis

• anki_compare_decks() - Side-by-side deck statistics
• anki_compare_periods() - Compare two time periods
• anki_compare_by_age() - Retention by card age
• anki_compare_deck_difficulty() - Rank decks by difficulty
• anki_benchmark() - Compare your stats to FSRS averages

Time Analysis

• anki_time_by_hour() - Detailed hourly statistics
• anki_time_by_weekday() - Statistics by day of week
• anki_session_stats() - Study session analysis
• anki_response_time() - Response time by difficulty/interval
• anki_monthly_summary() - Monthly statistics
• anki_consistency() - Study consistency metrics

Card Quality Analysis

• anki_card_complexity() - Measure card complexity
• anki_similar_cards() - Find potential duplicates
• anki_tag_analysis() - Tag usage and retention by tag
• anki_empty_cards() - Find cards with empty fields
• anki_long_cards() - Find overly long cards
• anki_quality_report() - Comprehensive quality assessment

Predictive Features

• fsrs_time_to_mastery() - Estimate when deck will be learned
• fsrs_forgetting_index() - Percentage of cards below target retention
• fsrs_review_burden() - Long-term daily review workload estimate
• fsrs_optimal_new_rate() - Sustainable new card rate recommendation
• fsrs_simulate_new_deck() - Project workload when adding cards

Interactive Dashboard

• anki_dashboard() - Launch Shiny dashboard with all analytics

Export Formats

• anki_to_org() - Export to Emacs Org-mode (org-drill)
• anki_to_markdown() - Export to Markdown (Obsidian/Logseq/basic)
• anki_to_supermemo() - Export to SuperMemo Q&A format
• fsrs_from_csv() - Import review data from other sources
• anki_export_importable() - Export to Anki-importable format

Time Series Analysis

• anki_ts_intervals() - Track interval progression over time
• anki_ts_retention() - Track retention rate changes
• anki_ts_stability() - FSRS stability trends
• anki_ts_workload() - Workload trends over time
• anki_ts_learning() - New cards learned per period
• anki_ts_maturation() - Card maturation tracking
• anki_ts_decompose() - Decompose into trend/seasonal/residual
• anki_ts_anomalies() - Detect unusual study days
• anki_ts_forecast() - Forecast future reviews
• anki_ts_autocorrelation() - Find cyclical patterns
• anki_ts_plot() - Plot any time series with trend

ankiR 0.4.0

Features

Analytics & Statistics

• anki_cards_full() - Cards joined with notes, decks, models
• anki_tags() - Unique tags with counts
• anki_field_contents() - Parse note fields into columns
• anki_stats_deck() - Per-deck statistics
• anki_stats_daily() - Daily review stats
• anki_retention_rate() - Actual retention from history
• anki_learning_curve() - Card progression over time
• anki_heatmap_data() - Calendar heatmap data
• anki_streak() - Current/longest streaks

Search & Filter

• anki_search() - Anki-like search syntax
• anki_suspended(), anki_buried(), anki_leeches()
• anki_due(), anki_new(), anki_mature()

Media Management

• anki_media_list(), anki_media_unused(), anki_media_missing()
• anki_media_path(), anki_media_stats()

FSRS Advanced

• fsrs_difficulty_distribution(), fsrs_stability_distribution()
• fsrs_current_retrievability(), fsrs_simulate()
• fsrs_workload_estimate(), fsrs_prepare_for_optimizer()
• fsrs_get_parameters()

Export

• anki_to_csv(), anki_report(), anki_export_revlog(), anki_forecast()

ankiR 0.3.0

• anki_decks(), anki_models(), fsrs_interval(), date_to_anki_timestamp()
• FSRS-6 per-card decay parameter support
• Comprehensive test suite

ankiR 0.2.0

• FSRS parameter support via anki_cards_fsrs()
• fsrs_retrievability() function

ankiR 0.1.0

• Initial release with core functions

mirror server hosted at Truenetwork, Russian Federation.