LadyBug 2.0 

• Simulation and parameter estimation of Susceptible-Exposed-Infected-Recovered (SEIR) epidemics. Heterogenous epidemics due to spatially arranged populations with grid neighbourhood structure can be handled as well as additional diagnostic tests. Estimation includes maximum likelihood in fully observed epidemics and MCMC estimation of partially observed epidemics. Implemented in Java and available as JAR file (executable) or as source distribution under the GPL license.

• LadyBug 2.0 comes with ABSOLUTELY NO WARRANTY; for details type see http://www.gnu.org/copyleft/gpl.html (GPL). This is free software, and you are welcome to redistribute it under the GPL conditions.

Improved version with simulation tool and source distribution. Check the README.txt files. In order to get running you need to edit the bin/*.sh files. Try out the examples in the examples/ folder. At a future point a LadyBug manual will be available.

• Executable version [ladybug2.0-exec.zip] containing JAR files and examples.
• Source version [ladybug2.0-src.zip] containing source code, JavaDoc and JAR files).

• The LadyBug v1.0 class files, datasets and option files -- this old version corresponds to the software described in the technical report  Estimating Parameters for Stochastic Epidemics. The HYDRA library. I have not tested the new version, instead a local copy of the old version including the JNL library is provided - you should go for this copy. Install and add the appropriate directories to your classpath.

Literature:

• LadyBug - a software environment for stochastic epidemic models, Presentation from the 3rd world conference on Computational Statistics & Data Anaylsis, Limassol, Cyprus, 28-31 October 2005
• Inference in disease transmission experiments using stochastic epidemic models, M. Höhle, E. Jørgensen, and P.D. O'Neill, Journal of the Royal Statistical Society, Series C, volume 54, part 2 (2005), pages 349-366.
• Estimating Parameters for Stochastic Epidemics, M. Höhle and E. Jørgensen, Dina Research Report no. 102, 2002, 51 pages
• Bayesian inference for partially observed stochastic epidemics, P.D. O'Neill and G. O. Roberts, J. R. Statist. Soc. A 162, pp. 121-129

News:

• 8 April 2004. Ladybug v2.0 is now available corresponding to the implementation used in the article "Inference in disease transmission experiments using stochastic epidemic models". The code has been refactored, the spatial estimation improved and source code is now available under GPL.
• 17 November 2002. First version (LadyBug v1.0) made available on the net. No source code currently provided due to current re-factoring giving a nicer class hierarchy and allowing for more advanced models. Feel free to contact me if you run into problems. Use of code is although as always at own risk.