Package: pks 0.6-1

Florian Wickelmaier

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>).

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

pks_0.6-1.tar.gz
pks_0.6-1.tar.gz(r-4.5-noble)pks_0.6-1.tar.gz(r-4.4-noble)
pks_0.6-1.tgz(r-4.4-emscripten)pks_0.6-1.tgz(r-4.3-emscripten)
pks.pdf |pks.html✨
pks/json (API)

# Install 'pks' in R:
install.packages('pks', repos = 'https://cloud.r-project.org')
Datasets:
  • DoignonFalmagne7 - Artificial Responses from Doignon and Falmagne
  • chess - Responses to Chess Problems and Knowledge Structures
  • density97 - Responses and Knowledge Structures from Taagepera et al.
  • endm - Responses and Knowledge Structures from Heller and Wickelmaier
  • fraction17 - Arithmetic Problems for Elementary and Middle School Students
  • matter97 - Responses and Knowledge Structures from Taagepera et al.
  • probability - Problems in Elementary Probability Theory
  • subtraction13 - Arithmetic Problems for Elementary and Middle School Students

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.78 score 1 stars 2 packages 344 downloads 15 exports 1 dependencies

Last updated 6 months agofrom:da6c518417. Checks:1 OK, 2 ERROR. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 20 2025
R-4.5-linuxERRORMar 20 2025
R-4.4-linuxERRORMar 20 2025

Exports:as.binmatas.patternblimblimitblimMDdelineategetKFringegetSlmPKis.backward.gradedis.downgradableis.forward.gradedis.subsetitajacobianslm

Dependencies:sets

Parameter Estimation in Probabilistic Knowledge Structures -- Step by Step

Rendered fromEstimationStepByStep.Rnwusingutils::Sweaveon Mar 20 2025.

Last update: 2024-09-17
Started: 2023-07-07

Citation

Please cite the pks package by the following reference:

Heller J, Wickelmaier F (2013). “Minimum discrepancy estimation in probabilistic knowledge structures.” Electronic Notes in Discrete Mathematics, 42, 49–56. doi:10.1016/j.endm.2013.05.145.

Corresponding BibTeX entry: 

  @Article{,
    title = {Minimum discrepancy estimation in probabilistic knowledge
      structures},
    author = {J\"urgen Heller and Florian Wickelmaier},
    journal = {Electronic Notes in Discrete Mathematics},
    year = {2013},
    volume = {42},
    pages = {49--56},
    doi = {10.1016/j.endm.2013.05.145},
  }