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:
Downloads:
Reverse dependencies:
Linking:
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