Package: bulletcp 1.0.0

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.

Authors:Nathaniel Garton [aut, cre], Kiegan Rice [ctb]

bulletcp_1.0.0.tar.gz
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bulletcp_1.0.0.tgz(r-4.6-any)bulletcp_1.0.0.tgz(r-4.5-any)
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bulletcp_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
bulletcp/json (API)

# Install 'bulletcp' in R:
install.packages('bulletcp', repos = c('https://nategarton13.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/nategarton13/bulletcp/issues

Datasets:
  • example_data - Example of an average of 2D crosscuts from the Hamby 44 data set.

On CRAN:

Conda:

3.90 score 16 scripts 252 downloads 11 exports 19 dependencies

Last updated from:19b53e3139. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK139
source / vignettesOK213
linux-release-x86_64OK168
macos-release-arm64OK123
macos-oldrel-arm64OK146
windows-develOK94
windows-releaseOK90
windows-oldrelOK123
wasm-releaseOK109

Exports:detect_cpget_grooves_bcpimputeGPmlgprobust_loess_fitrunmcmc_cp0runmcmc_cp1runmcmc_cp1_leftrunmcmc_cp1_rightrunmcmc_cp2runmcmc_cpall

Dependencies:assertthatclidplyrgenericsgluelifecyclemagrittrmvtnormpillarpkgconfigR6rbibutilsRdpackrlangtibbletidyselectutf8vctrswithr

Groove detection with a Bayesian changepoint model

Nathaniel Garton

Rendered fromBayesian_changepoint_groove_detection.Rmdusingknitr::rmarkdownon May 23 2026.

Last update: 2020-01-29
Started: 2018-10-12