R: Automatic Groove Identification via Bayesian Changepoint Detection

# Automatic Groove Identification via Bayesian Changepoint Detection

## Documentation for package ‘bulletcp’ version 1.0.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

detect_cp | Impute data and estimate groove locations.
get_grooves_bcp | Conforming get_grooves_"name" function.
imputeGP | Impute missing data.
mlgp | Impute missing data.
raw_data | Example of an average of 2D crosscuts from the Hamby 44 data set.
robust_loess_fit | Fit a robust loess regression
runmcmc_cp0 | Estimate a posterior distribution of data conditional on zero changepoints.
runmcmc_cp1 | Estimate a posterior distribution of data conditional that there is one groove.
runmcmc_cp1_left | Estimate a posterior distribution of data conditional on a left groove and no right groove.
runmcmc_cp1_right | Estimate a posterior distribution of data conditional on a left groove and no right groove.
runmcmc_cp2 | Estimate a posterior distribution of data conditional that there are two grooves.
runmcmc_cpall | Estimate posterior distributions for the 0, 1, or 2 changepoint case.