ingaschwabe/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.

Getting started

Package details

AuthorInga Schwabe
MaintainerInga Schwabe <bayestwin@gmail.com>
LicenseGPL (>= 2)
Version1.0
URL http://www.ingaschwabe.com
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("ingaschwabe/BayesTwin")
ingaschwabe/BayesTwin documentation built on May 18, 2019, 4:54 a.m.