RLadyBug is a R package for the analysis of Infectious Diseases using Stochastic Epidemic Models. The package consists of two independent tools to analyse infectious disease surveillance data: 1. Stochastic Susceptible-Exposed-Infectious-Recovered (SEIR) models are treated by the java program LadyBug, i.e. for use of this functionality of the package a java virtual machine has to be installed on your computer. 2. Multivariate temporal counting processes for a fixed set of locations are modeled through additive-multiplicative conditional intensities (fitted by the ’twinSIR’ function). (Source: http://cran.r-project.org/web/packages)
Keywords for this software
References in zbMATH (referenced in 4 articles , 1 standard article )
Showing results 1 to 4 of 4.
- Daniel Merl; Leah Johnson; Robert Gramacy; Marc Mangel: amei: An R Package for the Adaptive Management of Epidemiological Interventions (2010) not zbMATH
- Gatu, Cristian; McCullough, B. D.: Second special issue on statistical algorithms and software (2010)
- Gatu, Cristian; Gentle, James; Hinde, John; Huh, Moon: Special issue on statistical algorithms and software (2007)
- Höhle, Michael; Feldmann, Ulrike: RLadyBug -- an R package for stochastic epidemic models (2007)