Package: bayeslist 0.0.1.6

Xiao Lu

bayeslist: Bayesian Analysis of List Experiments with Prior Information

Estimates Bayesian models of list experiments with informative priors. It includes functionalities to estimate different types of list experiment models with varying prior information. See Lu and Traunmüller (2026) <doi:10.1017/psrm.2025.10084> for examples and details of estimation.

Authors:Xiao Lu [aut, cre], Richard Traunmüller [aut]

bayeslist_0.0.1.6.tar.gz
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bayeslist_0.0.1.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
bayeslist/json (API)

# Install 'bayeslist' in R:
install.packages('bayeslist', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • onetbb– Parallelism library for C++
  • c++– GNU Standard C++ Library v3
Datasets:
  • london - The 2017 London List Experiment
  • srilanka - The Sri Lanka List Experiment on Wartime Sexual Violence

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

onetbbcpp

1.70 score 435 downloads 8 exports 49 dependencies

Last updated from:9b0b6e5cfe. Checks:10 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK975
linux-devel-x86_64OK1151
source / vignettesOK1106
linux-release-arm64OK1019
linux-release-x86_64OK1149
windows-devel-arm64OK1083
windows-devel-x86_64OK1687
windows-release-arm64OK1098
windows-release-x86_64OK1756
wasm-releaseOK506

Exports:bayeslistlogisticplot_coef.bayeslistplot_prevalence.bayeslistplot_trace.bayeslistprint_coef.bayeslistprint_mcmc.bayeslistprint_text.bayeslist

Dependencies:abindbackportsBHcallrcheckmateclicpp11descdistributionalfarverFormulagenericsggplot2gluegridExtragtableinlineisobandlabelinglifecycleloomagrittrmatrixStatsnumDerivotelpillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanrstantoolsS7scalesStanHeaderstensorAtibbleutf8vctrsviridisLitewithr