Package: BayesTwin 1.0

Inga Schwabe

BayesTwin: Bayesian Analysis of Item-Level Twin Data

Bayesian analysis of item-level hierarchical twin data using an integrated item response theory model. Analyses are based on Schwabe & van den Berg (2014) <doi:10.1007/s10519-014-9649-7>, Molenaar & Dolan (2014) <doi:10.1007/s10519-014-9647-9>, Schwabe, Jonker & van den Berg (2016) <doi:10.1007/s10519-015-9768-9> and Schwabe, Boomsma & van den Berg (2016) <doi:10.1016/j.lindif.2017.01.018>. Caution! The subroutines of this package rely on the program JAGS, which can be freely obtained from http://mcmc-jags.sourceforge.net.

Authors:Inga Schwabe

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BayesTwin.pdf |BayesTwin.html✨
BayesTwin/json (API)

# Install 'BayesTwin' in R:
install.packages('BayesTwin', repos = c('https://ingaschwabe.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/ingaschwabe/bayestwin/issues

Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
  • c++– GNU Standard C++ Library v3
Datasets:
  • results - Sample output of a BayesTwin analysis

On CRAN:

Conda:

bayesiangeneticsheritabilityitem-response-theorymcmc-samplerpsychometricsjagscpp

3.04 score 11 scripts 244 downloads 1 mentions 5 exports 5 dependencies

Last updated 7 years agofrom:656afd72d4. Checks:1 OK, 8 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 26 2025
R-4.5-winWARNINGMar 26 2025
R-4.5-macWARNINGMar 26 2025
R-4.5-linuxWARNINGMar 26 2025
R-4.4-winWARNINGMar 26 2025
R-4.4-macWARNINGMar 26 2025
R-4.4-linuxWARNINGMar 26 2025
R-4.3-winWARNINGMar 26 2025
R-4.3-macWARNINGMar 26 2025

Exports:geplotHPDIRTtwinplotbayestwinsimulatetwin

Dependencies:codaforeignlatticematrixStatsrjags