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 |
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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