# Replication v0.1.0

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## Test Replications by Means of the Prior Predictive p-Value

Allows for the computation of a prior predictive p-value to test replication of relevant features of original studies. Relevant features are captured in informative hypotheses. The package also allows for the computation of power. The statistical underpinnings are described in Zondervan-Zwijnenburg (2019) <doi:10.31234/osf.io/uvh5s>.

## Functions in Replication

 Name Description order_terms Order terms ppc.step1 Prior predictive check step 1 sim.step1 Simulate Data for the Predictive Distribution ppc.step2step3 Prior predictive check step 2 and 3 expand_compound_constraints Expand compound constraints create_matrices Create (in)equality constraint matrices ppc.plot Plot ppc.step2step3 output expand_parentheses Expand parentheses llratio.f Likelihood ratio statistic for constrained versus unconstrained model llratio.imp Log likelihood ratio and p-value for data imputed with mice posterior.step1 Posterior Distribution constraint_to_equation Constraint to equation constraint_to_row Constraint to row No Results!