Welcome to PyRBIT’s documentation!

Project description

This library facilitates model based evaluation and design of experiments that feature Recall-Based Interaction Techniques (RBIT).

Installing PyRBIT

The library can be installed directly with pip:

python3 -m pip install pyrbit

Alternatively, you can also downlaod the source and build it using poetry

poetry install

What can you do with pyrbit?

pyrbit is a set of utilities for people who want help with designing experiments for evaluating and comparing recall-based interaction techniques. Here is how this tool can help you:

• Use cognitive models for simulating human memory: + Exponential Forgetting Model + ACT-R model

• Utilies to simulate experiments: populations, experiments, trials

• Evaluating the informativeness of a particular schedule

• Run power analyses for a particular schedule to test the difference between block recall percentages

See also

• Home page
• Exponential Forgetting Model
• ACT-R Model
• Memory Utilities
• Evaluating the informativeness of a schedule
• Comparing block recall percentages, power analysis
• API reference

Known Caveats

Indices

• Index

• Module Index

• Search Page