Identify Differential Selection R package diffdriver version 0.1.7 Tests for context-dependent selection on cancer driver genes using somatic mutation data. The package implements the DiffDriver statistical framework to assess whether the strength of positive selection on mutations in a driver gene is associated with tumor- or individual-level context variables, such as clinical traits, genomic features, or immune microenvironment subtypes. DiffDriver estimates individual- and position-specific background mutation rates, models selection as a deviation from the background rate using functional annotations, and tests context effects through a latent-variable logistic model. It provides utilities for preparing mutation and annotation data, fitting differential-selection models, running gene-level association tests, summarizing candidate genes, and visualizing mutation patterns. The method is described in Zhou et al. (2026) "Detecting context-dependent selection on cancer driver genes with DiffDriver" <doi:10.64898/2026.04.06.716771>. Software Depends: R (>= 3.5.0) Imports: Matrix, stats, data.table, brglm, fastTopics, SQUAREM Suggests: knitr, rmarkdown, logging, testthat (>= 3.0.0) Siming Zhao <siming.zhao@dartmouth.edu> Comprehensive R Archive Network (CRAN) Siming Zhao [aut, cre], Jie Zhou [aut], Qirui Zhang [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=diffdriver/LICENSE) 2026-06-26 application/tgz https://CRAN.R-project.org/package=diffdriver doi:10.32614/CRAN.package.diffdriver