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.

bulletcp: Automatic Groove Identification via Bayesian Changepoint Detection

Provides functionality to automatically detect groove locations via a Bayesian changepoint detection method to be used in the data preprocessing step of forensic bullet matching algorithms. The methods in this package are based on those in Stephens (1994) <doi:10.2307/2986119>. Bayesian changepoint detection will simply be an option in the function from the package 'bulletxtrctr' which identifies the groove locations.

Version: 1.0.0
Depends: mvtnorm, dplyr, stats, assertthat
Imports: Rdpack
Suggests: knitr, rmarkdown, ggplot2
Published: 2019-03-16
DOI: 10.32614/CRAN.package.bulletcp
Author: Nathaniel Garton [aut, cre], Kiegan Rice [ctb]
Maintainer: Nathaniel Garton <nate.garton13 at gmail.com>
License: GPL-3
NeedsCompilation: no
Materials: README
CRAN checks: bulletcp results

Documentation:

Reference manual: bulletcp.pdf
Vignettes: Groove detection with a Bayesian changepoint model

Downloads:

Package source: bulletcp_1.0.0.tar.gz
Windows binaries: r-devel: bulletcp_1.0.0.zip, r-release: bulletcp_1.0.0.zip, r-oldrel: bulletcp_1.0.0.zip
macOS binaries: r-release (arm64): bulletcp_1.0.0.tgz, r-oldrel (arm64): bulletcp_1.0.0.tgz, r-release (x86_64): bulletcp_1.0.0.tgz, r-oldrel (x86_64): bulletcp_1.0.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=bulletcp 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.