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
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

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