Package: MultipleBreakpoints 0.1.0
Nicolas Froelich
MultipleBreakpoints: Estimating Multiple Breakpoints for a Sequence of Realizations of Bernoulli Variables
The iterative procedure estimates structural changes in the success probability of Bernoulli variables. It estimates the number and location of the breakpoints as well as the success probability of the different sequences between the breakpoints. In addition, it provides a graphical illustration of the result.
Authors:
MultipleBreakpoints_0.1.0.tar.gz
MultipleBreakpoints_0.1.0.tar.gz(r-4.5-noble)MultipleBreakpoints_0.1.0.tar.gz(r-4.4-noble)
MultipleBreakpoints_0.1.0.tgz(r-4.4-emscripten)MultipleBreakpoints_0.1.0.tgz(r-4.3-emscripten)
MultipleBreakpoints.pdf |MultipleBreakpoints.html✨
MultipleBreakpoints/json (API)
| # Install 'MultipleBreakpoints' in R: |
| install.packages('MultipleBreakpoints', 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 3 years agofrom:38a0de6e64. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 08 2024 |
| R-4.5-linux | OK | Nov 08 2024 |
Exports:multiple_breakpoints
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Estimating Multiple Breakpoints for a Sequence of Realizations of Bernoulli Variables | multiple_breakpoints |
| Plotting the Results of the multiple_breakpoints function | plot.mBP |