create_jaatha_model

The primary argument. Can be a function used for simulations,
or a coala model.

Additional parameters passed on to the dispatch function.

If your model is a down-scaled version of your data,
you can indicated this using this value. The estimated expectation values
are multiplied with this factor before the likelihood is calculated.

scaling_factor

A logical indicating whether a simulation is performed to test
the model.

test

This function can be used to create models for an analysis with Jaatha.
Models can be created using simulation function  
(see <code><a href="/link/create_jaatha_model.function?package=jaatha&version=3.0.0" rd-options="" data-mini-rdoc="jaatha::create_jaatha_model.function">create_jaatha_model.function</a></code>) or using a <pkg>coala</pkg> 
model (see <code><a href="/link/create_jaatha_model.coalmodel?package=jaatha&version=3.0.0" rd-options="" data-mini-rdoc="jaatha::create_jaatha_model.coalmodel">create_jaatha_model.coalmodel</a></code>).

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.

create_jaatha_model: Specify a Model for a Jaatha Analysis

Description

Usage

Arguments