Package: banditsCI 1.0.0
Molly Offer-Westort
banditsCI: Bandit-Based Experiments and Policy Evaluation
Frequentist inference on adaptively generated data. The methods implemented are based on Zhan et al. (2021) <doi:10.48550/arXiv.2106.02029> and Hadad et al. (2021) <doi:10.48550/arXiv.1911.02768>. For illustration, several functions for simulating non-contextual and contextual adaptive experiments using Thompson sampling are also supplied.
Authors:
banditsCI_1.0.0.tar.gz
banditsCI_1.0.0.tar.gz(r-4.5-noble)banditsCI_1.0.0.tar.gz(r-4.4-noble)
banditsCI_1.0.0.tgz(r-4.4-emscripten)banditsCI_1.0.0.tgz(r-4.3-emscripten)
banditsCI.pdf |banditsCI.html✨
banditsCI/json (API)
NEWS
| # Install 'banditsCI' in R: |
| install.packages('banditsCI', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/uchicago-pol-methods/banditsci/issues
Pkgdown site:https://uchicago-pol-methods.github.io
Last updated 27 days agofrom:51e70e2368. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 29 2024 |
| R-4.5-linux | OK | Nov 29 2024 |
Exports:.check_A.check_first_batch.check_shapeaw_estimateaw_scoresaw_varcalculate_balwtscalculate_continuous_X_statisticsdraw_thompsonestimategenerate_bandit_dataifelse_clipimpose_floorLinTSModeloutput_estimatesplot_cumulative_assignmentridge_initridge_muhat_lfo_pairidge_updaterun_experimentsimple_tree_datastick_breakingtwopoint_stable_var_ratioupdate_thompson
Dependencies:codetoolsforeachglmnetiteratorslatticeMASSMatrixmvtnormrbibutilsRcppRcppEigenRdpackshapesurvival
