The recent advancement of agent-based modeling is characterized by higher demands on the pa-rameterization, evaluation and documentation of these computationally expensive models. Accordingly, there is also a growing request for “easy to go” applications just mimicking the input-output...

Covariate benchmarking is an important part of sensitivity analysis about omitted variable bias and can be used to bound the strength of the unobserved confounder using information and judgments about observed covariates. It is common to carry out formal covariate benchmarking under the...