sourceR: Fits a Non-Parametric Bayesian Source Attribution Model

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.

Version: 1.0.0
Depends: R (≥ 3.2.1), dplyr
Imports: gtools, hashmap, uuid, R6, cluster, stats, gplots, SPIn, grDevices
Published: 2017-01-15
Author: Poppy Miller [aut, cre, cph], Chris Jewell [aut], Jonathan Marshall [ctb], Nigel French [ctb]
Maintainer: Poppy Miller <p.miller at>
License: GPL-3
NeedsCompilation: no
CRAN checks: sourceR results


Reference manual: sourceR.pdf
Package source: sourceR_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Mavericks binaries: r-release: sourceR_1.0.0.tgz, r-oldrel: sourceR_1.0.0.tgz
Old sources: sourceR archive


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