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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 |
| Reference manual: | pks.pdf |
| Vignettes: |
Parameter Estimation in Probabilistic Knowledge Structures – Step by Step (source, R code) |
| 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 depends: | kstIO |
| Reverse imports: | kstMatrix |
| Reverse suggests: | mycaas |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.