RladyBug swMATH ID: 810 Software Authors: Michael Hoehle, Ulrike Feldmann, Sebastian Meyer Description: 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). Homepage: http://www.statistik.lmu.de/~hoehle/software/RLadyBug/ Operating Systems: Linux, Windows, MacOS X Dependencies: R (≥ 2.6.0), methods, rJava (≥ 0.5), coda Keywords: SIR model; SEIR model; stochastic modelling; MCMC; S4; R Related Software: R; amei; CODA; Cobra; Stan; R0; rstan; EpiEstim; Surveillance; tscount; acp; EpiModel; epinet; rstanarm; epidemia; stochasticGEM; epiR; epibasix; epicalc; Epi Cited in: 4 Publications Standard Articles 1 Publication describing the Software, including 1 Publication in zbMATH Year RLadyBug – an R package for stochastic epidemic models. Zbl 1317.62003Höhle, Michael; Feldmann, Ulrike 2007 all top 5 Cited by 11 Authors 2 Gatu, Cristian 1 Cook, Alex R. 1 Deardon, Rob 1 Feldmann, Ulrike 1 Gentle, James E. 1 Hinde, John P. 1 Höhle, Michael 1 Huh, Moon Yul 1 McCullough, B. D. 1 McKinley, Trevelyan J. 1 Ross, Joshua V. Cited in 1 Serial 4 Computational Statistics and Data Analysis Cited in 3 Fields 4 Statistics (62-XX) 2 General and overarching topics; collections (00-XX) 2 Biology and other natural sciences (92-XX) Citations by Year