Analysis of infectious disease data using stochastic
Susceptible-Exposed-Infectious-Recovered (SEIR) models. Parts
of the R package wrap functionality of a Java program, i.e. a
java virtual machine has to be installed on your computer.
Furthermore, infectious disease surveillance data can now be
modeled based on a multivariate counting process with
additive-multiplicative conditional intensities.
| Version: |
0.6-0 |
| Depends: |
R (≥ 2.6.0), methods, rJava (≥ 0.5), coda |
| Imports: |
graphics, stats, grDevices, utils, MASS, boa, quadprog |
| Published: |
2009-10-07 |
| Author: |
Michael Hoehle, Ulrike Feldmann, Sebastian Meyer |
| Maintainer: |
Michael Hoehle <hoehle at stat.uni-muenchen.de> |
| License: |
file LICENSE |
| URL: |
http://www.stat.uni-muenchen.de/~hoehle/software/RLadyBug |
| Citation: |
RLadyBug citation info |
| CRAN checks: |
RLadyBug results |