Package: COMPASS
 Type: Package
 Title: Combinatorial Polyfunctionality Analysis of Single Cells

 Version: 1.39.1

 Date: 2014-07-11

 Author: Lynn Lin, Kevin Ushey, Greg Finak, Ravio Kolde (pheatmap)

 Authors@R: c( person("Lynn", "Lin", role="aut", email="[email protected]"),

     person("Kevin", "Ushey", role="aut", email="[email protected]"),
     person("Greg", "Finak", role=c("aut","cre"), email="[email protected]"),

     person("Raivo", "Kolde", role="ctb", email="[email protected]",
     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 <[email protected]>

 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