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Probabilistic Knowledge Structures

Installation

About

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 doi:10.1016/j.endm.2013.05.145).

Citation pks citation info
www.mathpsy.uni-tuebingen.de/wickelmaier/

Key Metrics

Version 0.6-0
R ≥ 3.5.0
Published 2023-07-07 302 days ago
Needs compilation? no
License GPL-2
License GPL-3
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Maintainer

Maintainer

Florian Wickelmaier

wickelmaier@web.de

Authors

Florian Wickelmaier

aut / cre

Juergen Heller

aut

Julian Mollenhauer

aut

Pasquale Anselmi

ctb

Debora de Chiusole

ctb

Andrea Brancaccio

ctb

Luca Stefanutti

ctb

Material

ChangeLog
Reference manual
Package source

In Views

Psychometrics

Vignettes

Parameter Estimation in Probabilistic Knowledge Structures – Step by Step

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

pks archive

Depends

R ≥ 3.5.0
stats
sets

Imports

graphics

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Rgraphviz

Reverse Depends

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