Mathematical Utilities for MALDI-TOF Mass Spectrometry // Supports matrix-assisted laser desorption/ionization time-of- flight (MALDI-TOF) mass spectrometry workflows from raw Bruker spectra to cohort-level peak matrices. Provides spectrum loading, Savitzky-Golay smoothing, baseline correction (SNIP and TopHat), Gaussian kernel-regression-based peak detection including shoulder peaks, peak-quality assessment, filtering, and cohort feature analysis. Computationally intensive routines are implemented in C++ using 'Rcpp'. The implemented signal- processing methods include those described by Savitzky and Golay (1964) doi:10.1021/ac60214a047, Ryan et al. (1988) doi:10.1016/0168-583X(88)90063-8, Stanford, Bagley and Solomon (2016) doi:10.1186/s12953-016-0107-8, and Nadaraya-Watson kernel regression (Nadaraya (1964) doi:10.1137/1109020; Watson (1964) https://www.jstor.org/stable/25049340).