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:
BayesTwin_1.0.tar.gz
BayesTwin_1.0.zip(r-4.5)BayesTwin_1.0.zip(r-4.4)BayesTwin_1.0.zip(r-4.3)
BayesTwin_1.0.tgz(r-4.4-any)BayesTwin_1.0.tgz(r-4.3-any)
BayesTwin_1.0.tar.gz(r-4.5-noble)BayesTwin_1.0.tar.gz(r-4.4-noble)
BayesTwin_1.0.tgz(r-4.4-emscripten)BayesTwin_1.0.tgz(r-4.3-emscripten)
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
- results - Sample output of a BayesTwin analysis
bayesiangeneticsheritabilityitem-response-theorymcmc-samplerpsychometrics
Last updated 6 years agofrom:656afd72d4. Checks:OK: 1 WARNING: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 30 2024 |
| R-4.5-win | WARNING | Oct 30 2024 |
| R-4.5-linux | WARNING | Oct 30 2024 |
| R-4.4-win | WARNING | Oct 30 2024 |
| R-4.4-mac | WARNING | Oct 30 2024 |
| R-4.3-win | WARNING | Oct 30 2024 |
| R-4.3-mac | WARNING | Oct 30 2024 |
Exports:geplotHPDIRTtwinplotbayestwinsimulatetwin
Dependencies:codaforeignlatticematrixStatsrjags
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 |