MALDIassist-package     MALDIassist: Mathematical utilities for
                        MALDI-TOF mass spectrometry
align_spectra           Alignment of MALDI-TOF Spectra to Internal
                        Standards
build_kde_spectrum      Build a Gaussian KDE-Smoothed Spectrum
build_matched_matrix    Build a Sample-by-Marker Peak Intensity Matrix
calculate_peak_prominence
                        Calculate Peak Prominence
estimate_peak_strength
                        Estimate Peak Strength
estimate_significance   Estimate Significant m/z Features Between Two
                        Groups
filter_overlap_mz       Filter Overlapping Frequent m/z Features
filter_peaks            Filter Detected Peaks Using Intensity,
                        Prominence, and Peak Strength
find_extrema            Find Local Extrema from First and Second
                        Derivative Functions
find_extrema_fast       Fast Local Extrema Detection by Sign Changes
find_frequent_mz        Find Frequent m/z Values from a List of Peak
                        Tables
find_peaks              Detect Ordinary Peaks and Shoulder Peaks Using
                        Weighted Curvature
find_peaks_fast         Fast Local Peak Detection from a Mass Spectrum
get_curvature_fun       Create a Curvature Function from First and
                        Second Derivative Functions
get_gauss_kde           Create a Gaussian KDE Function for a Mass
                        Spectrum
heatmap_matched_matrix
                        Heatmap of a Sample-by-Marker Matched-Peak
                        Matrix
load_maldi_spectra      Load Bruker MALDI-TOF MS Spectra
match_peaks             Match Detected Peaks to Reference m/z Values
preprocess_maldi_spectra
                        Preprocess MALDI-TOF Mass Spectra
smooth_savitzky_golay   Smooth a Spectrum Using the Savitzky-Golay
                        Filter
subtract_baseline       Subtract Baseline from a Mass Spectrum
visualize_spectra       Visualize One or More Overlaid Mass Spectra
visualize_spectrum      Visualize a Single Mass Spectrum with Optional
                        Peak Segments
