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.2013.05.145>).

Version:	0.6-1
Depends:	R (≥ 4.0.0), stats, sets
Imports:	graphics
Suggests:	relations, Rgraphviz
Published:	2024-09-16
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.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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