estimate_llh

The model used for the estimation. 
See <code><a href="/link/create_jaatha_model?package=jaatha&version=3.0.0" rd-options="" data-mini-rdoc="jaatha::create_jaatha_model">create_jaatha_model</a></code>.

model

The data used for the estimation.
See <code><a href="/link/create_jaatha_data?package=jaatha&version=3.0.0" rd-options="" data-mini-rdoc="jaatha::create_jaatha_data">create_jaatha_data</a></code>.

data

The parameter combination for which the loglikelihood
will be estimated.

parameter

The number of simulations that will be used for averaging the
expectation values of the summary statistics.

The number of CPU cores that will be used for the simulations.
The relies on the <pkg>parallel</pkg> package, and consequenlty only one
core is supported on Windows.

cores

For internal use. Indicates whether the parameter
combination is normalized to [0, 1]-scale, or on its natural
scale.

normalized

For internal use. Use existing simulations.

sim_data

This function estimates the Log-likelihood value for a given
parameter combination. It conducts a number of simulations for
the parameter combination, averages the summary statistics to
esimate their expected values, and uses them to calculate the
likelihood. For a resonable number of simulation, this is more
precise than the glm fitting used in the main algorithm.

An estimation method that can use computer simulations to
    approximate maximum-likelihood estimates even when the likelihood function can not
    be evaluated directly. It can be applied whenever it is feasible to conduct many
    simulations, but works best when the data is approximately Poisson distributed.
    It was originally designed for demographic inference in evolutionary
    biology. It has optional support for conducting coalescent simulation using
    the 'coala' package.

estimate_llh: Estimate the Log-Likelihood for a given parameter combination

Description

Usage

Arguments