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pks (version 0.8-0)

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

602

Version

0.8-0

License

GPL (>= 2)

Maintainer

Florian Wickelmaier

Last Published

September 16th, 2026

Functions in pks (0.8-0)

jacobian

Jacobian Matrix for Basic Local Independence Model
simulate.blim

Simulate Responses from Basic Local Independence Models (BLIMs)
slm

Simple Learning Models (SLMs)
endm

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

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

Competency Deletion Procedure (CDP)
plot.blim

Diagnostic Plot for Basic Local Independence Models
schoolarithm

Arithmetic Problems for Elementary and Middle School Students
getKFringe

Outer and Inner Fringes of a Knowledge Structure
gradedness

Forward-/Backward-Gradedness and Downgradability of a Knowledge Structure
DoignonFalmagne7

Artificial Responses from Doignon and Falmagne (1999)
delineate

Delineate a Knowledge Structure by a Skill Function
print.blim

Print a blim Object
conversion

Conversion between Representations of Responses or States
hsgeometry

Responses to Geometry Problems and Knowledge Structures
residuals.blim

Residuals for Basic Local Independence Models
ita

Item Tree Analysis (ITA)
probability

Problems in Elementary Probability Theory
blimit

Basic Local Independence Model Identification Analysis
blim

Basic Local Independence Models (BLIMs)
chess

Responses to Chess Problems and Knowledge Structures
predict.blim

Predict Knowledge States from Basic Local Independence Models (BLIMs)