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pks (version 0.4-1)

Probabilistic Knowledge Structures

Description

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

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Version

Install

install.packages('pks')

Monthly Downloads

290

Version

0.4-1

License

GPL (>= 2)

Maintainer

Florian Wickelmaier

Last Published

May 25th, 2019

Functions in pks (0.4-1)

conversion

Conversion between Representations of Responses or States
jacobian

Jacobian Matrix for Basic Local Independence Model
DoignonFalmagne7

Artificial Responses from Doignon and Falmagne (1999)
Taagepera

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

Diagnostic Plot for Basic Local Independence Models
print.blim

Print a blim Object
probability

Problems in Elementary Probability Theory
blim

Basic Local Independence Models (BLIMs)
endm

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

Forward- or Backward-Gradedness of a Knowledge Structure
residuals.blim

Residuals for Basic Local Independence Models
simulate.blim

Simulate Responses from Basic Local Independence Models (BLIMs)
chess

Responses to Chess Problems and Knowledge Structures
delineate

Delineate a Knowledge Structure by a Skill Function