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pks (version 0.6-1)

Probabilistic Knowledge Structures

Description

Fitting and testing probabilistic knowledge structures, especially the basic local independence model (BLIM, Doignon & Flamagne, 1999) and the simple learning model (SLM), using the minimum discrepancy maximum likelihood (MDML) method (Heller & Wickelmaier, 2013 ).

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Version

Install

install.packages('pks')

Monthly Downloads

450

Version

0.6-1

License

GPL (>= 2)

Maintainer

Florian Wickelmaier

Last Published

September 16th, 2024

Functions in pks (0.6-1)

schoolarithm

Arithmetic Problems for Elementary and Middle School Students
jacobian

Jacobian Matrix for Basic Local Independence Model
ita

Item Tree Analysis (ITA)
simulate.blim

Simulate Responses from Basic Local Independence Models (BLIMs)
Taagepera

Responses and Knowledge Structures from Taagepera et al. (1997)
plot.blim

Diagnostic Plot for Basic Local Independence Models
residuals.blim

Residuals for Basic Local Independence Models
probability

Problems in Elementary Probability Theory
print.blim

Print a blim Object
slm

Simple Learning Models (SLMs)
blim

Basic Local Independence Models (BLIMs)
endm

Responses and Knowledge Structures from Heller and Wickelmaier (2013)
gradedness

Forward-/Backward-Gradedness and Downgradability of a Knowledge Structure
conversion

Conversion between Representations of Responses or States
DoignonFalmagne7

Artificial Responses from Doignon and Falmagne (1999)
chess

Responses to Chess Problems and Knowledge Structures
getKFringe

Outer and Inner Fringes of a Knowledge Structure
delineate

Delineate a Knowledge Structure by a Skill Function
blimit

Basic Local Independence Model Identification Analysis