anki_ts_anomalies

Identifies unusual days (very high or low activity).

Comprehensive toolkit for reading and analyzing 'Anki'
flashcard collection databases. Provides functions to access
notes, cards, decks, note types, and review logs with a tidy
interface. Features extensive analytics including retention
rates, learning curves, forgetting curve fitting, and review
patterns. Supports 'FSRS' (Free Spaced Repetition Scheduler)
analysis with stability, difficulty, retrievability metrics,
parameter comparison, and workload predictions. Includes
visualization functions, comparative analysis, time-based
analytics, card quality assessment, sibling card analysis,
interference detection, predictive features, session simulation,
and an interactive Shiny dashboard. Academic/exam preparation
tools for medical students and board exam preparation. Export
capabilities include CSV, Org-mode, Markdown, SuperMemo, Mochi,
Obsidian SR, and JSON formats with progress reports.

Christos Longros

ankiR

Read and Analyze 'Anki' Flashcard Databases

anki_ts_anomalies function

<dl><dt>path</dt>
<dd>Path to collection.anki2 (auto-detected if NULL)</dd>
<dt>profile</dt>
<dd>Profile name (first profile if NULL)</dd>
<dt>threshold</dt>
<dd>Number of standard deviations for anomaly (default 2)</dd></dl>

Arguments

Detect anomalies in review patterns — anki_ts_anomalies

<dl>

<dt>path</dt>
<dd>Path to collection.anki2 (auto-detected if NULL)</dd>


<dt>profile</dt>
<dd>Profile name (first profile if NULL)</dd>


<dt>threshold</dt>
<dd>Number of standard deviations for anomaly (default 2)</dd>

</dl>

anki_ts_anomalies: Detect anomalies in review patterns

Description

Usage

Value

Arguments

Examples