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.


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.

0.1.0

2016-04-22

gtools (>= 3.4.1),
Rlab (>= 2.15.1),
SPIn (>= 1.1),
inline (>= 0.3.13),
Rcpp (>= 0.11.3),
methods
R (>= 3.1.2)
cluster (>= 1.15.3),
ggplot2 (>= 1.1.0),
gplots (>= 2.16.0)

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Reference manual

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install.packages("sourceR")

1.0.1 by Poppy Miller, 6 months ago


Browse source code at https://github.com/cran/sourceR


Authors: Poppy Miller [aut, cre, cph], Chris Jewell [aut], Jonathan Marshall [ctb], Nigel French [ctb]


Documentation:   PDF Manual  


GPL-3 license


Imports gtools, hashmap, R6, cluster, stats, gplots, SPIn, grDevices, reshape2

Depends on dplyr, tensorA, assertthat

Suggests testthat, R.rsp


See at CRAN