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
bulletcp_1.0.0.zip(r-4.5)bulletcp_1.0.0.zip(r-4.4)bulletcp_1.0.0.zip(r-4.3)
bulletcp_1.0.0.tgz(r-4.4-any)bulletcp_1.0.0.tgz(r-4.3-any)
bulletcp_1.0.0.tar.gz(r-4.5-noble)bulletcp_1.0.0.tar.gz(r-4.4-noble)
bulletcp_1.0.0.tgz(r-4.4-emscripten)bulletcp_1.0.0.tgz(r-4.3-emscripten)
bulletcp.pdf |bulletcp.html
bulletcp/json (API)

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

Peer review:

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:

11 exports 0.74 score 20 dependencies 16 scripts 208 downloads

Last updated 5 years agofrom:19b53e3139. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 13 2024
R-4.5-winOKSep 13 2024
R-4.5-linuxOKSep 13 2024
R-4.4-winOKSep 13 2024
R-4.4-macOKSep 13 2024
R-4.3-winOKSep 13 2024
R-4.3-macOKSep 13 2024

Exports:detect_cpget_grooves_bcpimputeGPmlgprobust_loess_fitrunmcmc_cp0runmcmc_cp1runmcmc_cp1_leftrunmcmc_cp1_rightrunmcmc_cp2runmcmc_cpall

Dependencies:assertthatclidplyrfansigenericsgluelifecyclemagrittrmvtnormpillarpkgconfigR6rbibutilsRdpackrlangtibbletidyselectutf8vctrswithr

Groove detection with a Bayesian changepoint model

Rendered fromBayesian_changepoint_groove_detection.Rmdusingknitr::rmarkdownon Sep 13 2024.

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