cpcens: Changepoint Analysis using Censored Time Series Data

To detect the changepoint, this package uses most recent changepoint, double cumulative sum binary segmentation, multiple changepoints in multivariate time series, analyzing each series in the panel independently, and analyzing aggregated data methods. This package is useful to simulate censored time series to detect the most recent changepoint in censored panel data as well as to assess prediction accuracy.

Version: 0.1.0
Depends: R (≥ 2.10)
Imports: stats, utils, Rdpack, cents, tbart
Suggests: testthat
Published: 2019-08-02
Author: Hajra Siddiqa, Sajid Ali, Ismail Shah
Maintainer: Sajid Ali <sajidali at qau.edu.pk>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: cpcens results


Reference manual: cpcens.pdf
Package source: cpcens_0.1.0.tar.gz
Windows binaries: r-prerelease: cpcens_0.1.0.zip, r-release: cpcens_0.1.0.zip, r-oldrel: cpcens_0.1.0.zip
macOS binaries: r-prerelease: cpcens_0.1.0.tgz, r-release: cpcens_0.1.0.tgz, r-oldrel: cpcens_0.1.0.tgz


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