Package: OPTtesting 1.0.0
Lijia Wang
OPTtesting: Optimal Testing
Optimal testing under general dependence. The R package implements procedures proposed in Wang, Han, and Tong (2022). The package includes parameter estimation procedures, the computation for the posterior probabilities, and the testing procedure.
Authors:
OPTtesting_1.0.0.tar.gz
OPTtesting_1.0.0.tar.gz(r-4.5-noble)OPTtesting_1.0.0.tar.gz(r-4.4-noble)
OPTtesting_1.0.0.tgz(r-4.4-emscripten)OPTtesting_1.0.0.tgz(r-4.3-emscripten)
OPTtesting.pdf |OPTtesting.html✨
OPTtesting/json (API)
| # Install 'OPTtesting' in R: |
| install.packages('OPTtesting', 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 3 years agofrom:63fc2a5052. Checks:3 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 28 2025 |
| R-4.5-linux | OK | Mar 28 2025 |
| R-4.4-linux | OK | Mar 28 2025 |
Exports:AEBd_valueFDP_computel_valueOptimal_procedure_3
Dependencies:latticeMASSMatrixMatrixModelsquantregRcppRcppEigenrootSolveRSpectraSparseMsurvival
Citation
To cite package ‘OPTtesting’ in publications use:
Wang L, Han X, Tong X (2022). OPTtesting: Optimal Testing. R package version 1.0.0, https://CRAN.R-project.org/package=OPTtesting.
Corresponding BibTeX entry:
@Manual{,
title = {OPTtesting: Optimal Testing},
author = {Lijia Wang and Xu Han and Xin Tong},
year = {2022},
note = {R package version 1.0.0},
url = {https://CRAN.R-project.org/package=OPTtesting},
}
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| AEB | AEB |
| d_value | d_value |
| FDP_compute | FDP_compute |
| l_value | l_value |
| Optimal_procedure_3 | Optimal_procedure_3 |