BLIM simulation
This app lets you simulate response patterns based on a given knowledge space using the BLIM.
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Deterministic knowledge assessment
This app lets you build your own knowledge structure on a set of five items on elementary probability theory, and lets you perform a deterministic knowledge assessment on that structure. It is derived from the app on probabilistic knowledge assessment.
Surmise relations
This app demonstrates surmise relations and the corresponding knowledge spaces.
Identifiability
This app visualizes the trade-off between the parameters of a non-identifiable basic local independence model (BLIM).
Classical and Bayesian parameter estimation
This app demonstrates classical and Bayesian parameter estimation methods for probabilistic knowledge structures.
Parameter estimation
This app uses three procedures to estimate the parameters for a data set and a knowledge structure specified by the user.
Local Independence
This app exemplifies the local independence assumption of the basic local independence model.
Comparison of Frequentist and Bayesian analysis in ANOVA post-hoc settings
The aim of the app is to give students and researchers a tool to balance experimental groups before starting an experiment.
Sequential testing with p-values and Bayes factors
This app illustrates the relation between p-values and Bayes factors for various statistical tests under sequential and block sampling procedures.
James-Stein estimator
The goal of this shiny app is to visualize the effect of shrinkage estimators and compare their performance to other estimators.