Analysis of small scale infectious disease data using stochastic Susceptible-Exposed-Infectious-Recovered (SEIR) models. The R package wraps functionality of the Java program LadyBug, i.e. a Java virtual machine has to be installed on your computer.
|Author||Michael Hoehle and Ulrike Feldmann with contributions by Sebastian Meyer|
|Date of publication||2014-05-18 20:55:08|
|Maintainer||Michael Hoehle <email@example.com>|
abakaliki: Smallpox epidemic in Abakaliki, Nigeria
csfv: CSFV Transmission Experiment
hksars: Hong Kong SARS outbreak 2003
ladybugExample: Access files in the LadyBug directory examples directory
laevens: CSFV Experiment by Laevens et. al
LBExperiment-class: Class "LBExperiment"
LBInference-class: Class "LBInference" - captures results for SEIR inference
LBInferenceMCMC-class: Class "LBInferenceMCMC" - results from MCMC inference in SEIR...
LBInferenceML-class: Class "LBInferenceML" - results from ML inference in SEIR...
LBInferenceMLK-class: Class "LBInferenceMLK" - results from MLK inference in SEIR...
LBLayout-class: Class "LBLayout" - grid layout structure
LBOptions-class: Class "LBOptions"
LBOptionsMCMC-class: Class "LBOptionsMCMC" - Specification of MCMC estimation in...
LBOptionsML-class: Class "LBOptionsML" - maximum likelihood inference in SEIR...
oneill: Simulated data of 5 recovery times from O'Neill et. al
readSpecFile: Read LadyBug files and create corresponding S4 RLadyBug...
RLadyBug.options: Options of the 'RLadyBug' Package
RLadyBug-package: Analysis of infectious diseases using stochastic epidemic...
seir: Parameter estimation in SEIR-Models based on ML or MCMC