Package: adpss 0.1.2
adpss: Design and Analysis of Locally or Globally Efficient Adaptive Designs
Provides the functions for planning and conducting a clinical trial with adaptive sample size determination. Maximal statistical efficiency will be exploited even when dramatic or multiple adaptations are made. Such a trial consists of adaptive determination of sample size at an interim analysis and implementation of frequentist statistical test at the interim and final analysis with a prefixed significance level. The required assumptions for the stage-wise test statistics are independent and stationary increments and normality. Predetermination of adaptation rule is not required.
Authors:
adpss_0.1.2.tar.gz
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adpss.pdf |adpss.html✨
adpss/json (API)
NEWS
| # Install 'adpss' in R: |
| install.packages('adpss', repos = c('https://ca4wa.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ca4wa/r-adpss/issues
Last updated 2 years agofrom:fa0cb62bd7. Checks:12 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 07 2025 |
| R-4.5-win-x86_64 | OK | Mar 07 2025 |
| R-4.5-mac-x86_64 | OK | Mar 07 2025 |
| R-4.5-mac-aarch64 | OK | Mar 07 2025 |
| R-4.5-linux-x86_64 | OK | Mar 07 2025 |
| R-4.4-win-x86_64 | OK | Mar 07 2025 |
| R-4.4-mac-x86_64 | OK | Mar 07 2025 |
| R-4.4-mac-aarch64 | OK | Mar 07 2025 |
| R-4.4-linux-x86_64 | OK | Mar 07 2025 |
| R-4.3-win-x86_64 | OK | Mar 07 2025 |
| R-4.3-mac-x86_64 | OK | Mar 07 2025 |
| R-4.3-mac-aarch64 | OK | Mar 07 2025 |
Exports:adaptive_analysis_norm_globaladaptive_analysis_norm_localexp_sample_size_norm_globalsample_size_norm_globalsample_size_norm_localwork_test_norm_global
Dependencies:Rcpp
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| adpss: A package for design and analysis of a locally or globally efficient adaptive design involving adaptive sample size determination. | adpss-package |
| Analyze data according to a globally efficient adaptive design. | adaptive_analysis_norm_global |
| Analyze data according to a locally efficient adaptive design. | adaptive_analysis_norm_local |
| Calculate expected sample size for a globally efficient adaptive design when working design is followed until the final interim analysis time and the final analysis time is fixed. | exp_sample_size_norm_global |
| Calculate sample size or power for a globally efficient adaptive design. | sample_size_norm_global |
| Calculate sample size or power for a locally efficient adaptive design. | sample_size_norm_local |
| Construct a working test and implement an interim or the final analysis for a globally efficient adaptive design. | work_test_norm_global |
