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BayesTwin  

Bayesian Analysis of Item-Level Twin Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("BayesTwin", "1.0")



Attach the package and use:
library("BayesTwin")
Maintained by
Inga Schwabe
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-06-26
Latest Update: 2017-06-26
Description:
Bayesian analysis of item-level hierarchical twin data using an integrated item response theory model. Analyses are based on Schwabe & van den Berg (2014) , Molenaar & Dolan (2014) , Schwabe, Jonker & van den Berg (2016) and Schwabe, Boomsma & van den Berg (2016) .
How to cite:
Inga Schwabe (2017). BayesTwin: Bayesian Analysis of Item-Level Twin Data. R package version 1.0, https://cran.r-project.org/web/packages/BayesTwin. Accessed 23 Jul. 2026.
Previous versions and publish date:
No previous versions
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View BayesTwin citation profile
Other R packages that BayesTwin depends, imports, suggests or enhances
Complete documentation for BayesTwin
Functions, R codes and Examples using the BayesTwin R package
Some associated functions: BayesTwin-package . HPD . IRTtwin . geplot . plotbayestwin . results . simulatetwin . summary.bayestwin . 
Some associated R codes: IRTtwin.R . help_functions.R . irt_ace.R . irt_ace_cov.R . irt_ade.R . irt_ade_cov.R . irt_ae.R . irt_ae_cov.R . ouput.R . simulate_ACE.R . simulate_ADE.R . simulate_AE.R . simulatetwin.R .  Full BayesTwin package functions and examples
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