All functions
boot_fit_loess	Fit a LOESS model with bootstrap samples
br411	3d topological surface measurements for one land of a bullet from the Hamby study
bulletAlign	Align two surface cross cuts according to maximal correlation
bulletCheckCrossCut	Identifying a reliable cross section
bulletGetMaxCMS_nist	Identify the number of maximum CMS between two bullet lands
bulletGetMaxCMS	Identify the number of maximum CMS between two bullet lands
bulletSmooth	Smooth the surface of a bullet
chumbley	Chumbley test score
CMS	Table of the number of consecutive matches
compute_average_scores	Get average scores
do_align	Align two surface cross cuts using cross correlation
fit_loess	Fit a loess curve to a bullet data frame
fortify_x3p	Convert an x3p file into a data frame
get_bullet	Deprecated function use get_crosscut
get_chumbley	Compute a Chumbley test score
get_cor	Get correlation between two signatures
get_crosscut	Read a crosscut from a 3d surface file
get_D	Compute the Euclidean distance between toolmarks
get_features	Get a feature vector for a pair of lands
get_grooves_middle	Use the center of a crosscut
get_grooves_quadratic	Quadratic fit to find groove locations
get_grooves_rollapply	Using rollapply to find grooves in a crosscut
get_grooves	Find the grooves of a bullet land
get_H	Compute the Hausdorff distance between toolmarks
get_lag_max_R	Get R Statistic for Chumbley matching
get_lag	Get best lag for two vectors based on cross-correlation
get_peaks_nist	Identify the location and the depth of peaks and heights at a crosscut
get_peaks	Identify the location and the depth of peaks and heights at a crosscut
getCircle	Estimate center and radius
getTwist	Estimate the twist in a bullet land
maxCMS	Number of maximum consecutively matching striae
my_ccf	Cross correlation function between two vectors
plot_3d_land	Plot a bullet land using plotly
predCircle	Estimate predictions and residuals for a circle fit of x and y
predSmooth	Estimate predictions and residuals for a smooth of x and y
processBullets	Process x3p file
read_dat	Read a dat file and create an x3p file
rtrees	randomforest
smoothloess	Predict smooth from a fit
striation_identify	Match striation marks across two cross sections based on previously identified peaks and valleys
unfortify_x3p	Convert a data frame into an x3p file