Encoding: UTF-8
Type: Package
Package: fastTopics
Version: 0.6-163
Date: 2024-01-15
Title: Fast Algorithms for Fitting Topic Models and Non-Negative Matrix
        Factorizations to Count Data
Authors@R: c(person("Peter","Carbonetto",role=c("aut","cre"),
                    email="peter.carbonetto@gmail.com"),
             person("Kevin","Luo",role="aut"),
             person("Kushal","Dey",role="aut"),
             person("Joyce","Hsiao",role="ctb"),
             person("Abhishek","Sarkar",role="ctb"),
             person("Anthony","Hung",role="ctb"),
	     person("Xihui","Lin",role="ctb"),
	     person("Paul C.","Boutros",role="ctb"),
	     person("Minzhe","Wang",role="ctb"),
	     person("Tracy","Ke",role="ctb"),
             person("Matthew","Stephens",role="aut"))
URL: https://github.com/stephenslab/fastTopics
BugReports: https://github.com/stephenslab/fastTopics/issues
Depends: R (>= 3.3.0)
Description: Implements fast, scalable optimization algorithms for
    fitting topic models ("grade of membership" models) and
    non-negative matrix factorizations to count data. The methods
    exploit the special relationship between the multinomial topic
    model (also, "probabilistic latent semantic indexing") and Poisson
    non-negative matrix factorization. The package provides tools to
    compare, annotate and visualize model fits, including functions to
    efficiently create "structure plots" and identify key features in
    topics. The 'fastTopics' package is a successor to the 'CountClust'
    package. Note that the 'fastTopicis' package on GitHub has more 
    vignettes illustrating application to single-cell RNA-seq data.
License: BSD_2_clause + file LICENSE
Copyright: inst/COPYRIGHTS
SystemRequirements: GNU make
Imports: graphics, utils, methods, stats, Matrix, gtools, quadprog,
        irlba, dplyr, Rtsne, uwot, ashr, Rcpp (>= 1.0.1), RcppParallel
        (>= 4.4.1), parallel, progress, pbapply, ggplot2 (>= 3.3.0),
        ggrepel (>= 0.9.0), cowplot, plotly, htmlwidgets
Suggests: NNLM, Ternary, testthat, knitr, rmarkdown, RhpcBLASctl
LinkingTo: Rcpp, RcppParallel, RcppArmadillo
Additional_repositories: https://stephenslab.github.io/nnlm-drat
LazyData: true
LazyDataCompression: xz
NeedsCompilation: yes
RoxygenNote: 7.2.3
VignetteBuilder: knitr
Packaged: 2024-01-15 18:33:14 UTC; pcarbo
Author: Peter Carbonetto [aut, cre],
  Kevin Luo [aut],
  Kushal Dey [aut],
  Joyce Hsiao [ctb],
  Abhishek Sarkar [ctb],
  Anthony Hung [ctb],
  Xihui Lin [ctb],
  Paul C. Boutros [ctb],
  Minzhe Wang [ctb],
  Tracy Ke [ctb],
  Matthew Stephens [aut]
Maintainer: Peter Carbonetto <peter.carbonetto@gmail.com>
Repository: CRAN
Date/Publication: 2024-01-15 23:30:09 UTC
Built: R 4.2.3; x86_64-w64-mingw32; 2024-04-24 02:54:02 UTC; windows
ExperimentalWindowsRuntime: ucrt
Archs: x64
