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: | 1.0.1 |
| Depends: | R (≥ 3.4.0), dplyr, tensorA, assertthat |
| Imports: | gtools, hashmap, R6, cluster, stats, gplots, SPIn, grDevices, reshape2 |
| Suggests: | testthat, R.rsp |
| Published: | 2017-05-09 |
| Author: | Poppy Miller [aut, cre, cph], Chris Jewell [aut], Jonathan Marshall [ctb], Nigel French [ctb] |
| Maintainer: | Poppy Miller <p.miller at lancaster.ac.uk> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | sourceR results |
| Reference manual: | sourceR.pdf |
| Vignettes: |
Using sourceR |
| Package source: | sourceR_1.0.1.tar.gz |
| Windows binaries: | r-devel: sourceR_1.0.1.zip, r-release: sourceR_1.0.1.zip, r-oldrel: sourceR_1.0.0.zip |
| OS X El Capitan binaries: | r-release: sourceR_1.0.1.tgz |
| OS X Mavericks binaries: | r-oldrel: sourceR_1.0.0.tgz |
| Old sources: | sourceR archive |
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