The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
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[@]metanet.ch.
Procedures for joint detection of changes in both expectation and variance in univariate sequences. Performs a statistical test of the null hypothesis of the absence of change points. In case of rejection performs an algorithm for change point detection. Reference - Bivariate change point detection - joint detection of changes in expectation and variance, Scandinavian Journal of Statistics, DOI 10.1111/sjos.12547.
| Version: | 1.2 |
| Published: | 2021-11-06 |
| Author: | Michael Messer [aut, cre] |
| Maintainer: | Michael Messer <michael.messer at tuwien.ac.at> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | jcp results |
| Reference manual: | jcp.pdf |
| Package source: | jcp_1.2.tar.gz |
| Windows binaries: | r-devel: jcp_1.2.zip, r-release: jcp_1.2.zip, r-oldrel: jcp_1.2.zip |
| macOS binaries: | r-release (arm64): jcp_1.2.tgz, r-oldrel (arm64): jcp_1.2.tgz, r-release (x86_64): jcp_1.2.tgz, r-oldrel (x86_64): jcp_1.2.tgz |
| Old sources: | jcp archive |
Please use the canonical form https://CRAN.R-project.org/package=jcp 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.