CharAnalysis            Run the full CharAnalysis pipeline
char_lowess             Locally-weighted linear regression matching
                        MATLAB charLowess.m / smooth()
char_parameters         Read CharAnalysis parameter and data files
char_peak_id            Identify charcoal peaks and apply minimum-count
                        screening
char_plot               CharAnalysis output figures
char_pretreatment       Interpolate and pretreat a charcoal time series
char_smooth             Smooth charcoal record to estimate
                        low-frequency C_background
char_thresh_global      Calculate a global threshold value for charcoal
                        peak identification
char_thresh_local       Calculate a per-sample local threshold for
                        charcoal peak identification
char_validate_params    Validate CharAnalysis input parameters
char_write_results      Write the CharAnalysis results matrix to a CSV
                        file
gaussian_mixture_em     Gaussian Mixture EM - direct R port of
                        GaussianMixture.m (Bowman CLUSTER)
