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pks (version 0.6-0)

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

290

Version

0.6-0

License

GPL (>= 2)

Maintainer

Florian Wickelmaier

Last Published

July 7th, 2023

Functions in pks (0.6-0)

schoolarithm

Arithmetic Problems for Elementary and Middle School Students
slm

Simple Learning Models (SLMs)
simulate.blim

Simulate Responses from Basic Local Independence Models (BLIMs)
residuals.blim

Residuals for Basic Local Independence Models
probability

Problems in Elementary Probability Theory
jacobian

Jacobian Matrix for Basic Local Independence Model
ita

Item Tree Analysis (ITA)
plot.blim

Diagnostic Plot for Basic Local Independence Models
print.blim

Print a blim Object
delineate

Delineate a Knowledge Structure by a Skill Function
conversion

Conversion between Representations of Responses or States
DoignonFalmagne7

Artificial Responses from Doignon and Falmagne (1999)
gradedness

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

Outer and Inner Fringes of a Knowledge Structure
endm

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

Basic Local Independence Models (BLIMs)
Taagepera

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

Responses to Chess Problems and Knowledge Structures
blimit

Basic Local Independence Model Identification Analysis