anki_ts_forecast

Uses exponential smoothing or linear trend for forecasting.

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_forecast 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>days</dt>
<dd>Number of days to forecast</dd>
<dt>method</dt>
<dd>Forecasting method: "ets" (exponential smoothing) or "linear"</dd></dl>

Arguments

Forecast future reviews using simple methods — anki_ts_forecast

<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>days</dt>
<dd>Number of days to forecast</dd>


<dt>method</dt>
<dd>Forecasting method: "ets" (exponential smoothing) or "linear"</dd>

</dl>

anki_ts_forecast: Forecast future reviews using simple methods

Description

Usage

Value

Arguments

Examples