The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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.
| Version: | 0.1.0 |
| Imports: | Rdpack |
| Published: | 2021-11-15 |
| Author: | Nicolas Froelich |
| Maintainer: | Nicolas Froelich <nicfroe at posteo.de> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | MultipleBreakpoints results |
| Reference manual: | MultipleBreakpoints.pdf |
| Package source: | MultipleBreakpoints_0.1.0.tar.gz |
| Windows binaries: | r-devel: MultipleBreakpoints_0.1.0.zip, r-release: MultipleBreakpoints_0.1.0.zip, r-oldrel: MultipleBreakpoints_0.1.0.zip |
| macOS binaries: | r-release (arm64): MultipleBreakpoints_0.1.0.tgz, r-oldrel (arm64): MultipleBreakpoints_0.1.0.tgz, r-release (x86_64): MultipleBreakpoints_0.1.0.tgz, r-oldrel (x86_64): MultipleBreakpoints_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=MultipleBreakpoints to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.