boot_fit_loess | Fit a LOESS model with bootstrap samples |
br411 | 3d topological surface measurements for one land of a bullet... |
bulletAlign | Align two surface cross cuts according to maximal correlation |
bulletCheckCrossCut | Identifying a reliable cross section |
bulletGetMaxCMS | Identify the number of maximum CMS between two bullet lands |
bulletGetMaxCMS_nist | 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 |
getCircle | Estimate center and radius |
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 | Find the grooves of a bullet land |
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_H | Compute the Hausdorff distance between toolmarks |
get_lag | Get best lag for two vectors based on cross-correlation |
get_lag_max_R | Get R Statistic for Chumbley matching |
get_peaks | Identify the location and the depth of peaks and heights at a... |
get_peaks_nist | Identify the location and the depth of peaks and heights at a... |
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... |
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... |
unfortify_x3p | Convert a data frame into an x3p file |
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