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: 0.2.0
Depends: R (≥ 3.1.2)
Imports: gtools (≥ 3.4.1), Rlab (≥ 2.15.1), SPIn (≥ 1.1), inline (≥ 0.3.13), Rcpp (≥ 0.11.3), methods, plyr (≥ 1.8.3)
LinkingTo: Rcpp, RcppArmadillo
Suggests: cluster (≥ 1.15.3), ggplot2 (≥ 1.1.0), gplots (≥ 2.16.0), knitr
Published: 2016-06-21
Author: Poppy Miller [aut, cre], Chris Jewell [aut], Jonathan Marshall [aut], Nigel French [aut]
Maintainer: Poppy Miller <p.miller at lancaster.ac.uk>
License: GPL-3
NeedsCompilation: yes
Materials: README
CRAN checks: sourceR results

Downloads:

Reference manual: sourceR.pdf
Vignettes: Source Attribution: The R Package sourceR
Package source: sourceR_0.2.0.tar.gz
Windows binaries: r-devel: sourceR_0.2.0.zip, r-release: sourceR_0.2.0.zip, r-oldrel: sourceR_0.2.0.zip
OS X Mavericks binaries: r-release: sourceR_0.2.0.tgz, r-oldrel: sourceR_0.2.0.tgz
Old sources: sourceR archive

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