anki_best_review_times

Analyzes retention and performance by hour of day and day of week to
identify when you learn best.

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_best_review_times 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>min_reviews</dt>
<dd>Minimum reviews per time slot for analysis (default 50)</dd></dl>

Arguments

Find optimal review times — anki_best_review_times

<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>min_reviews</dt>
<dd>Minimum reviews per time slot for analysis (default 50)</dd>

</dl>

anki_best_review_times: Find optimal review times

Description

Usage

Value

Arguments

Examples