Package: COMPASS Type: Package Title: Combinatorial Polyfunctionality Analysis of Single Cells Version: 1.51.0 Date: 2014-07-11 Author: Lynn Lin, Kevin Ushey, Greg Finak, Ravio Kolde (pheatmap) Authors@R: c( person("Lynn", "Lin", role="aut", email="llin@fhcrc.org"), person("Kevin", "Ushey", role="aut", email="kushey@fhcrc.org"), person("Greg", "Finak", role=c("aut","cre"), email="gfinak@fhcrc.org"), person("Raivo", "Kolde", role="ctb", email="rkolde@gmail.com", comment="Author of 'pheatmap', which was modified and now used internally in COMPASS") ) Description: COMPASS is a statistical framework that enables unbiased analysis of antigen-specific T-cell subsets. COMPASS uses a Bayesian hierarchical framework to model all observed cell-subsets and select the most likely to be antigen-specific while regularizing the small cell counts that often arise in multi-parameter space. The model provides a posterior probability of specificity for each cell subset and each sample, which can be used to profile a subject's immune response to external stimuli such as infection or vaccination. License: Artistic-2.0 BugReports: https://github.com/RGLab/COMPASS/issues VignetteBuilder: knitr Depends: R (>= 3.0.3) LinkingTo: Rcpp (>= 0.11.0) Maintainer: Greg Finak Imports: methods, Rcpp, data.table, RColorBrewer, scales, grid, plyr, knitr, abind, clue, grDevices, utils, pdist, magrittr, reshape2, dplyr, tidyr, rlang, BiocStyle, rmarkdown, foreach, coda Suggests: flowWorkspace (>= 3.33.1), flowCore, ncdfFlow, shiny, testthat, devtools, flowWorkspaceData, ggplot2, progress LazyLoad: yes LazyData: yes biocViews: ImmunoOncology, FlowCytometry Encoding: UTF-8 RoxygenNote: 7.1.1 Config/pak/sysreqs: cmake make libicu-dev libuv1-dev Repository: https://bioc.r-universe.dev Date/Publication: 2026-04-28 12:38:38 UTC RemoteUrl: https://github.com/bioc/COMPASS RemoteRef: HEAD RemoteSha: ebde741d93aad3647f53f494f22181473eec3f72 NeedsCompilation: yes Packaged: 2026-06-18 11:25:41 UTC; root