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Replication (version 0.1.2)

Test Replications by Means of the Prior Predictive p-Value

Description

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) .

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Version

Install

install.packages('Replication')

Monthly Downloads

30

Version

0.1.2

License

GPL (>= 3)

Maintainer

M. J. Zondervan-Zwijnenburg

Last Published

April 9th, 2020

Functions in Replication (0.1.2)

Plot ppc.step2step3 output

Prior predictive check step 2 and 3

Prior predictive check step 1

Simulate Data for the Predictive Distribution

expand_parentheses

Expand parentheses

create_matrices

Create (in)equality constraint matrices

expand_compound_constraints

Expand compound constraints

constraint_to_equation

Constraint to equation

Likelihood ratio statistic for constrained versus unconstrained model

constraint_to_row

Constraint to row

Log likelihood ratio and p-value for data imputed with mice

posterior.step1

Posterior Distribution