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psychotree  

Recursive Partitioning Based on Psychometric Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("psychotree", "0.16-1")



Attach the package and use:
library("psychotree")
Maintained by
Achim Zeileis
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2009-11-04
Latest Update: 2022-05-06
Description:
Recursive partitioning based on psychometric models, employing the general MOB algorithm (from package partykit) to obtain Bradley-Terry trees, Rasch trees, rating scale and partial credit trees, and MPT trees, trees for 1PL, 2PL, 3PL and 4PL models and generalized partial credit models.
How to cite:
Achim Zeileis (2009). psychotree: Recursive Partitioning Based on Psychometric Models. R package version 0.16-1, https://cran.r-project.org/web/packages/psychotree
Previous versions and publish date:
0.9-0 (2009-11-04 12:32), 0.11-1 (2010-12-01 12:47), 0.12-1 (2011-10-05 13:07), 0.12-2 (2012-10-23 11:12), 0.12-3 (2013-09-05 08:39), 0.13-0 (2014-02-03 20:32), 0.14-0 (2014-08-29 01:21), 0.15-0 (2015-01-20 01:17), 0.15-1 (2016-09-09 12:48), 0.15-2 (2018-12-20 07:49), 0.15-3 (2020-01-30 13:00), 0.15-4 (2021-05-21 20:30), 0.16-0 (2022-05-06 11:40)
Other packages that cited psychotree R package
View psychotree citation profile
Other R packages that psychotree depends, imports, suggests or enhances
Functions, R codes and Examples using the psychotree R package
Some associated functions: CEMSChoice . DIFSim . EuropeanValuesStudy . SPISA . Topmodel2007 . bttree . gpcmtree . mpttree . node_btplot . node_mptplot . node_profileplot . node_regionplot . npltree . pctree . raschtree . rstree . 
Some associated R codes: bttree.R . gluecodes.R . gpcmtree.R . graphics.R . mpttree.R . npltree.R . pctree.R . raschtree.R . rstree.R .  Full psychotree package functions and examples
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