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: |
1.1.0 |
| Depends: |
R (≥ 3.4.0), dplyr, tensorA, assertthat |
| Imports: |
methods, Rcpp (≥ 1.0.4), gtools, R6, cluster, stats, gplots, SPIn, grDevices, reshape2 |
| LinkingTo: |
Rcpp |
| Suggests: |
testthat, R.rsp |
| Published: |
2020-08-31 |
| 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: |
yes |
| CRAN checks: |
sourceR results |