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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