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:
bulletcp_1.0.0.tar.gz
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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')) |
Bug tracker:https://github.com/nategarton13/bulletcp/issues
- example_data - Example of an average of 2D crosscuts from the Hamby 44 data set.
Last updated 5 years agofrom:19b53e3139. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 12 2024 |
| R-4.5-win | OK | Nov 12 2024 |
| R-4.5-linux | OK | Nov 12 2024 |
| R-4.4-win | OK | Nov 12 2024 |
| R-4.4-mac | OK | Nov 12 2024 |
| R-4.3-win | OK | Nov 12 2024 |
| R-4.3-mac | OK | Nov 12 2024 |
Exports:detect_cpget_grooves_bcpimputeGPmlgprobust_loess_fitrunmcmc_cp0runmcmc_cp1runmcmc_cp1_leftrunmcmc_cp1_rightrunmcmc_cp2runmcmc_cpall
Dependencies:assertthatclidplyrfansigenericsgluelifecyclemagrittrmvtnormpillarpkgconfigR6rbibutilsRdpackrlangtibbletidyselectutf8vctrswithr
