Infusion: Inference using simulation

InfusionR Documentation

Inference using simulation


Implements a collection of methods to perform inferences based on simulation of realizations of the model considered. In particular it implements “summary likelihood”, an approach that effectively evaluates and uses the likelihood of simulated summary statistics.


The methods implemented in Infusion by default assume that the summary statistics have densities. Special values of some statistic, having discrete probability mass, can be handled using the boundaries attribute of the observed summary statistics (see handling_NAs for a further use of this attribute).


See examples example_reftable for the most complete example using up-to-date workflow, and example_raw_proj or example_raw for older workflows.


  ## see Note for links to examples.

Infusion documentation built on Sept. 29, 2022, 1:05 a.m.

Related to Infusion in Infusion...