Package: sourceR
Type: Package
Title: Fits a Non-Parametric Bayesian Source Attribution Model
Version: 1.1.0
Date: 2020-08-31
Authors@R: c(person("Poppy", "Miller", email = "p.miller@lancaster.ac.uk",
  role = c("aut", "cre", "cph")),
  person("Chris", "Jewell", role = "aut"),
  person("Jonathan", "Marshall", role = "ctb"),
  person("Nigel", "French", role = "ctb"))
Description: Implements a non-parametric source attribution model to attribute
    cases of disease to sources in Bayesian framework with source and type effects.
    Type effects are clustered using a Dirichlet Process. Multiple times and
    locations are supported.
License: GPL-3
Depends: R (>= 3.4.0), dplyr, tensorA, assertthat
Imports: methods, Rcpp (>= 1.0.4), gtools, R6, cluster, stats, gplots,
        SPIn, grDevices, reshape2
LinkingTo: Rcpp
RoxygenNote: 7.1.0
KeepSource: TRUE
LazyData: TRUE
Suggests: testthat, R.rsp
VignetteBuilder: R.rsp
NeedsCompilation: yes
Packaged: 2020-08-31 06:14:24 UTC; Poppy Miller
Author: Poppy Miller [aut, cre, cph],
  Chris Jewell [aut],
  Jonathan Marshall [ctb],
  Nigel French [ctb]
Maintainer: Poppy Miller <p.miller@lancaster.ac.uk>
Repository: CRAN
Date/Publication: 2020-08-31 06:40:03 UTC
Built: R 3.6.3; x86_64-w64-mingw32; 2021-05-12 20:56:39 UTC; windows
Archs: i386, x64
