Distributions
An illustration of the effect of violations of assumptions for the F distribution.
An illustration of the effect of violations of assumptions for the F distribution.
A series of interactive tutorials introducing principle component analysis, clustering, linear modelling and cross-validation for large datasets.
A Shiny App for visualizing, simulating and estimating the Time-Window of INtegration (TWIN) model (version 2017).
Time Window of multisensory INtegration.
This app allows you to define an arbitrary binary relation on a set of five items and shows you whether certain properties are fulfilled.
This app does a series of BLIM simulations and shows the dependence of the Discrepancy Index from the noise. The app was inspired by a student app from the 2019 seminar.
This app illustrates the application of the BLIM model to simulating response patterns from a knowledge structure.
The Knowledge Assessment App aims to give a demonstration of how the adaptive assessment of knowledge developed within the Knowledge Space Theory (KST) framework works in practice.
This app illustrates the use of IITA to generate surmise relations from data.
This app illustrates a simple approach to generating knowledge structures from response patterns.