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 = c('https://cran.r-universe.dev', '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 2 years agofrom:63fc2a5052. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 29 2024 |
| R-4.5-linux | OK | Oct 29 2024 |
Exports:AEBd_valueFDP_computel_valueOptimal_procedure_3
Dependencies:latticeMASSMatrixMatrixModelsquantregRcppRcppEigenrootSolveRSpectraSparseMsurvival
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 |