Probabilistic Knowledge Structures [R package pks version 0.6-1]

pks: Probabilistic Knowledge Structures

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年05月14日5>).

Version: 0.6-1

Depends: R (≥ 4.0.0), stats, sets

Imports: graphics

Suggests: relations, Rgraphviz

Published: 2024年09月16日

DOI: 10.32614/CRAN.package.pks

Author: Florian Wickelmaier [aut, cre], Juergen Heller [aut], Julian Mollenhauer [aut], Pasquale Anselmi [ctb], Debora de Chiusole [ctb], Andrea Brancaccio [ctb], Luca Stefanutti [ctb]

Maintainer: Florian Wickelmaier <wickelmaier at web.de>

License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]

URL: https://www.mathpsy.uni-tuebingen.de/wickelmaier/

NeedsCompilation: no

Citation: pks citation info

Materials: ChangeLog

In views: Psychometrics

CRAN checks: pks results

Documentation:

Reference manual: pks.html , pks.pdf

Vignettes: Parameter Estimation in Probabilistic Knowledge Structures – Step by Step (source, R code)

Downloads:

Package source: pks_0.6-1.tar.gz

Windows binaries: r-devel: pks_0.6-1.zip, r-release: pks_0.6-1.zip, r-oldrel: pks_0.6-1.zip

macOS binaries: r-release (arm64): pks_0.6-1.tgz, r-oldrel (arm64): pks_0.6-1.tgz, r-release (x86_64): pks_0.6-1.tgz, r-oldrel (x86_64): pks_0.6-1.tgz

Old sources: pks archive

Reverse dependencies:

Reverse depends: kstIO

Reverse imports: kstMatrix

Reverse suggests: mycaas

Linking:

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