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pks  

Probabilistic Knowledge Structures
View on CRAN: Click here


Download and install pks package within the R console
Install from CRAN:
install.packages("pks")

Install from Github:
library("remotes")
install_github("cran/pks")

Install by package version:
library("remotes")
install_version("pks", "0.6-0")



Attach the package and use:
library("pks")
Maintained by
Florian Wickelmaier
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-10-14
Latest Update: 2023-07-07
Description:
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 ).
How to cite:
Florian Wickelmaier (2011). pks: Probabilistic Knowledge Structures. R package version 0.6-0, https://cran.r-project.org/web/packages/pks
Previous versions and publish date:
0.1-0 (2011-10-14 17:29), 0.1-1 (2011-10-15 21:53), 0.2-0 (2012-03-07 18:49), 0.2-1 (2013-06-10 11:39), 0.3-0 (2014-03-28 11:03), 0.3-1 (2015-06-14 15:24), 0.4-0 (2016-04-19 00:55), 0.4-1 (2019-05-26 00:40), 0.5-0 (2022-04-15 00:30)
Other packages that cited pks R package
View pks citation profile
Other R packages that pks depends, imports, suggests or enhances
Functions, R codes and Examples using the pks R package
Some associated functions: DoignonFalmagne7 . Taagepera . blim . blimit . chess . conversion . delineate . endm . getKFringe . gradedness . ita . jacobian . plot.blim . print.blim . probability . residuals.blim . schoolarithm . simulate.blim . slm . 
Some associated R codes: blim.R . blimMD.R . blimit.R . cblim.R . conversion.R . gradedness.R . ita.R . jacobian.R . slm.R .  Full pks package functions and examples
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