DESCRIPTION

Package: COMPASS
Type: Package
Title: Combinatorial Polyfunctionality Analysis of Single Cells
Version: 1.29.5
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 <gfinak@fhcrc.org>
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