Bayesian Transmission Models
Antibiotic Parameters
Antibiotic Administration Rate Parameters
Clearance Parameters
Convert coded events to string events
Convert string events to coded events
Extract Model Parameters from C++ Model Object
Get compilation flags for exposed classes
InSitu Parameters
In Unit Parameters
Linear Antibiotic Acquisition Parameters
Log-Normal Acquisition Parameters
Model Parameters for a Log Normal Model
Convert MCMC Parameters to Data Frame
Create a new C++ model object with parameters
Create a new model object
Out of Unit Infection Parameters
Construct a parameter with a prior, weight and an update flag.
Specify a random testing parameter with a rate.
Progression Parameters
Random Testing Parameter Set
Run Bayesian Transmission MCMC
Surveillance Test Parameters
Provides Bayesian inference methods for infectious disease transmission models in healthcare settings. Implements Markov Chain Monte Carlo (MCMC) algorithms for estimating transmission parameters from patient-level data including admission, discharge, and testing events as described in Thomas 'et al.' (2015) <doi:10.1093/imammb/dqt021>.
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