% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/get_cpp_api.R
\name{get_cpp_api}
\alias{get_cpp_api}
\title{Access internal C++ rountines used in outbreaker2}
\usage{
get_cpp_api()
}
\value{
An environment containing Rcpp bindings to C++ functions used internally in
outbreaker2. All functions are named as cpp_[type]_[component], where 'type'
can be:
\itemize{
\item 'prior': prior computation
\item 'll': likelihood computation
\item 'move': movement of parameters or augmented data
}
And where 'component' can be:
\itemize{
\item 'mu': (parameter) mutation rate
\item 'pi': (parameter) reporting probability
\item 'lambda': (parameter) non-infectious contact rate
\item 'eps': (parameter) contact reporting coverage
\item 'alpha': (augmented data) ancestries of the cases
\item 'kappa': (augmented data) generation between cases on transmission
chains
\item 't_inf': (augmented data) dates of infections
\item 'timing_infections': (likelihood component) timing between infectors and
infectees
\item 'timing_sampling': (likelihood component) timing between infection and
reporting / isolation
\item 'timing': (likelihood component) sum of the two timing components
\item 'genetic': (likelihood component) genetic diversity accumulated along
transmission chains
\item 'reporting': (likelihood component) reporting of cases
\item 'all': (likelihood component) sum of all likelihood components
\item 'swap_cases': (type of movement) swap infectors and infectees on a
transmission tree
}
For a description of the arguments of these functions, see the Rcpp_API
vignette (\code{vignette("Rcpp_API", package = "outbreaker2")}).
}
\description{
This function returns an environment containing all C++ functions (bound to R
using Rcpp) used for priors, likelihoods, and movements of parameters in
outbreaker2.
}
\examples{
## get functions in an environment
api <- get_cpp_api()
api
## check content of the environment
ls(api)
## test the prior for mu
args(api$cpp_prior_mu)
config <- create_config()
api$cpp_prior_mu(list(mu = 0.00123), config)
dexp(0.00123, rate = config$prior_mu, log = TRUE)
}
\author{
Thibaut Jombart (\email{thibautjombart@gmail.com})
}