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/>.

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
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Type Package
License GPL (>= 3)
Encoding UTF-8
LazyData true
NeedsCompilation no
Packaged 2019-03-12 08:04:47 UTC; marielle
Repository CRAN
Date/Publication 2019-03-13 14:53:35 UTC

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