Package: countts 0.1.0

Tanujit Chakraborty
countts: Thomson Sampling for Zero-Inflated Count Outcomes
A specialized tool is designed for assessing contextual bandit algorithms, particularly those aimed at handling overdispersed and zero-inflated count data. It offers a simulated testing environment that includes various models like Poisson, Overdispersed Poisson, Zero-inflated Poisson, and Zero-inflated Overdispersed Poisson. The package is capable of executing five specific algorithms: Linear Thompson sampling with log transformation on the outcome, Thompson sampling Poisson, Thompson sampling Negative Binomial, Thompson sampling Zero-inflated Poisson, and Thompson sampling Zero-inflated Negative Binomial. Additionally, it can generate regret plots to evaluate the performance of contextual bandit algorithms. This package is based on the algorithms by Liu et al. (2023) <arxiv:2311.14359>.
Authors:
countts_0.1.0.tar.gz
countts_0.1.0.tar.gz(r-4.5-noble)countts_0.1.0.tar.gz(r-4.4-noble)
countts_0.1.0.tgz(r-4.4-emscripten)countts_0.1.0.tgz(r-4.3-emscripten)
countts.pdf |countts.html✨
countts/json (API)
# Install 'countts' in R: |
install.packages('countts', repos = 'https://cloud.r-project.org') |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:4edec682fc. Checks:3 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 24 2025 |
R-4.5-linux | OK | Mar 24 2025 |
R-4.4-linux | OK | Mar 24 2025 |
Exports:apply_laplacePoissonapply_linearTSapply_normalNBapply_ZINBapply_ZIPoutput_summaryupdate_algorithm
Dependencies:clicolorspacedata.tablefansifarverfastDummiesggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmatrixStatsmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalesstringistringrtibbleutf8vctrsviridisLitewithr
Citation
To cite package ‘countts’ in publications use:
Liu X, Deliu N, Chakraborty T, Bell L, Chakraborty B (2023). countts: Thomson Sampling for Zero-Inflated Count Outcomes. R package version 0.1.0, https://CRAN.R-project.org/package=countts.
Corresponding BibTeX entry:
@Manual{, title = {countts: Thomson Sampling for Zero-Inflated Count Outcomes}, author = {Xueqing Liu and Nina Deliu and Tanujit Chakraborty and Lauren Bell and Bibhas Chakraborty}, year = {2023}, note = {R package version 0.1.0}, url = {https://CRAN.R-project.org/package=countts}, }