Package: CautiousLearning 1.0.1
Giovanna Capizzi
CautiousLearning: Control Charts with Guaranteed In-Control Performance and Cautious Parameters Learning
Design and use of control charts for detecting mean changes based on a delayed updating of the in-control parameter estimates. See Capizzi and Masarotto (2019) <doi:10.1080/00224065.2019.1640096> for the description of the method.
Authors:
CautiousLearning_1.0.1.tar.gz
CautiousLearning_1.0.1.tar.gz(r-4.5-noble)CautiousLearning_1.0.1.tar.gz(r-4.4-noble)
CautiousLearning_1.0.1.tgz(r-4.4-emscripten)CautiousLearning_1.0.1.tgz(r-4.3-emscripten)
CautiousLearning.pdf |CautiousLearning.html✨
CautiousLearning/json (API)
NEWS
| # Install 'CautiousLearning' in R: |
| install.packages('CautiousLearning', 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 5 years agofrom:c34888aedf. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 25 2024 |
| R-4.5-linux-x86_64 | OK | Dec 25 2024 |
Exports:cautiousLearningcusum.clewma.clhasOMPrcrlruvsetOMPThreadssetSITMOSeedsx.cl
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Guaranteed In-Control Control Chart Performance with Cautious Parameter Learning | CautiousLearning-package |
| Applications of control charts based on the cautious learning approach | cautiousLearning |
| Design of control charts based on the cautious learning approach | cusum.cl ewma.cl x.cl |
| Support for parallel computation | hasOMP omp setOMPThreads setSITMOSeeds |
| Estimation errors and conditional run-length simulation | rcrl ruv |