Infusion | R Documentation |

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.

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