Infusion: Inference using simulation

Description Details Note Examples


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 workflow examples in example_reftable and example_raw


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Infusion documentation built on Feb. 22, 2021, 9:08 a.m.

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