Package: bayeslist 0.0.1.4

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 (2021) <doi:10.2139/ssrn.3871089> for examples and details of estimation.

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

bayeslist_0.0.1.4.tar.gz
bayeslist_0.0.1.4.tar.gz(r-4.5-noble)bayeslist_0.0.1.4.tar.gz(r-4.4-noble)
bayeslist.pdf |bayeslist.html
bayeslist/json (API)

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

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • london - The 2017 London List Experiment
  • srilanka - The Sri Lanka List Experiment on Wartime Sexual Violence

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

cpp

1.70 score 8 exports 54 dependencies

Last updated 27 days agofrom:c5775b96fb. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 28 2024
R-4.5-linux-x86_64OKNov 28 2024

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

Dependencies:abindbackportsBHcallrcheckmateclicolorspacedescdistributionalfansifarverFormulagenericsggplot2gluegridExtragtableinlineisobandlabelinglatticelifecycleloomagrittrMASSMatrixmatrixStatsmgcvmunsellnlmenumDerivpillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanrstantoolsscalesStanHeaderstensorAtibbleutf8vctrsviridisLitewithr