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