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

BayesTwin_1.0.tar.gz
BayesTwin_1.0.zip(r-4.7)BayesTwin_1.0.zip(r-4.6)BayesTwin_1.0.zip(r-4.5)
BayesTwin_1.0.tgz(r-4.6-any)BayesTwin_1.0.tgz(r-4.5-any)
BayesTwin_1.0.tar.gz(r-4.7-any)BayesTwin_1.0.tar.gz(r-4.6-any)
BayesTwin_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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:

bayesian genetics heritability item-response-theory mcmc-sampler psychometrics jags cpp

3.28 score 19 scripts 238 downloads 1 mentions 5 exports 5 dependencies

Last updated from:656afd72d4. Checks:7 WARNING, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	WARNING	117
source / vignettes	OK	134
linux-release-x86_64	WARNING	118
macos-release-arm64	WARNING	135
macos-oldrel-arm64	WARNING	129
windows-devel	WARNING	79
windows-release	WARNING	72
windows-oldrel	WARNING	95
wasm-release	OK	90

Exports:geplot HPD IRTtwin plotbayestwin simulatetwin

Dependencies:coda foreign lattice matrixStats rjags

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Bayesian analysis of item-level twin data	BayesTwin
Plots 95% credibility interval of GxE interaction	GEplot geplot ge_plot
Calculate highest posterior density interval	HPD hpd
Bayesian analysis of item-level twin data	IRTtwin
Summary plots of BayesTwin MCMC-objects	plotBayestwin plotbayestwin
Sample output of a BayesTwin analysis	results
Simulate item-level twin data	Simulatedata simulatetwin simulatetwindata
Summary statistics for BayesTwin analysis	summary.bayestwin summaryBayestwin summarybayestwin