R: Simulation-Based Inference Methods for Infectious Disease Models

# Simulation-Based Inference Methods for Infectious Disease Models

## Documentation for package ‘SimBIID’ version 0.2.2

- DESCRIPTION file
- Package NEWS

## Help Pages

SimBIID-package | Simulation-based inference for infectious disease models
ABCRef | Produces ABC reference table
ABCSMC | Runs ABC-SMC algorithm
ABCSMC.ABCSMC | Runs ABC-SMC algorithm
ABCSMC.default | Runs ABC-SMC algorithm
compileRcpp | Compiles 'SimBIID_model' object
ebola | Time series counts of ebola cases
mparseRcpp | Parse custom model using 'SimInf' style markup
plot.ABCSMC | Plots 'ABCSMC' objects
plot.PMCMC | Plots 'PMCMC' objects
plot.SimBIID_runs | Plots 'SimBIID_runs' objects
PMCMC | Runs particle MCMC algorithm
PMCMC.default | Runs particle MCMC algorithm
PMCMC.PMCMC | Runs particle MCMC algorithm
predict.PMCMC | Predicts future course of outbreak from 'PMCMC' objects
print.ABCSMC | Prints 'ABCSMC' objects
print.PMCMC | Prints 'PMCMC' objects
print.SimBIID_model | Prints 'SimBIID_model' objects
print.SimBIID_runs | Prints 'SimBIID_runs' objects
run | Runs 'SimBIID_model' object
SimBIID | Simulation-based inference for infectious disease models
smallpox | Time series counts of smallpox cases
summary.ABCSMC | Summarises 'ABCSMC' objects
summary.PMCMC | Summarises 'PMCMC' objects
window.PMCMC | Time windows for 'PMCMC' objects