[hiows] STATassist 1.1.0

hiows97@gmail.com (Wonseok Oh) — Tue, 25 Aug 2026 11:57:27 GMT

Runs the applicable tests for a comparison in one call and returns standardised result tables. One-sample, two-group, multi-group, factorial and categorical workflows report parametric, rank-based and robust results side by side with effect sizes, confidence intervals and multiplicity-adjusted p-values. Supervised fits, embeddings, clustering and simulators follow the same result contracts. Methods include those of Welch (1947) , Wilcoxon (1945) , Mann and Whitney (1947) , Kruskal and Wallis (1952) , Friedman (1937) , Tukey (1949) , Dunn (1964) , Yuen (1974) , Brunner and Munzel (2000) , Algina, Keselman and Penfield (2005) , DeLong, DeLong and Clarke-Pearson (1988) , Sun and Xu (2014) , Pencina, D'Agostino, D'Agostino and Vasan (2008) , and Pencina, D'Agostino and Steyerberg (2011) .

[hiows] MALDIassist 1.0.2

hiows97@gmail.com (Wonseok Oh) — Fri, 24 Jul 2026 13:45:00 GMT

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) , Ryan et al. (1988) , Stanford, Bagley and Solomon (2016) , and Nadaraya-Watson kernel regression (Nadaraya (1964) ; Watson (1964) ).

hiows.r-universe.dev

[hiows] STATassist 1.1.0

[hiows] MALDIassist 1.0.2