Generalized Reporter Score-Based Enrichment Analysis for Omics Data R package ReporterScore version 0.2.5 Inspired by the classic 'RSA', we developed the improved 'Generalized Reporter Score-based Analysis (GRSA)' method, implemented in the R package 'ReporterScore', along with comprehensive visualization methods and pathway databases. 'GRSA' is a threshold-free method that works well with all types of biomedical features, such as genes, chemical compounds, and microbial species. Importantly, the 'GRSA' supports multi-group and longitudinal experimental designs, because of the included multi-group-compatible statistical methods. Software Depends: R (>= 4.2.0) Imports: magrittr, dplyr, stats, ggplot2 (>= 3.2.0), pcutils (>= 0.2.5), utils, scales, ggnewscale, ggrepel, reshape2, stringr, foreach Suggests: knitr, rmarkdown, plyr, e1071, factoextra, snow, doSNOW, pheatmap, readr, R.utils, KEGGREST, ggkegg, clusterProfiler, enrichplot, pathview, GSA, vegan, MetaNet, igraph, ggraph, PADOG, safe, rSEA, GSVA Chen Peng <bfzede@gmail.com> Comprehensive R Archive Network (CRAN) Chen Peng [aut, cre] (ORCID: <https://orcid.org/0000-0002-9449-7606>) GPL-3 2026-02-20 application/tgz https://CRAN.R-project.org/package=ReporterScore doi:10.32614/CRAN.package.ReporterScore