JeffreyCHoover/metaModelFitR: Testing Model Fit in Meta-Analysis Models

Posterior predictive model checks can be used to test model fit in meta-analysis models. 'metaModelFitR' analyzes model fit in meta-analysis results using posterior predictive model checks and presents the results analytically using posterior predictive p-values as proposed by Park et al. (2015) <doi:10.1504/IJQRE.2015.071738> and Zhu (2009) <https:d-scholarship.pitt.edu/10162/1/XiaowenZhu_ETD2009_Final.pdf>. This package applies posterior predictive model checks to frequentist meta-analysis results, similar to the process used by Dias et al. (2010) <doi:10.1002/sim.3767> for Bayesian meta-analysis results.

Getting started

Package details

MaintainerJeffrey C. Hoover <jhoover4@ku.edu>
LicenseGPL-3
Version0.1.0
URL https://github.com/JeffreyCHoover/metaModelFitR
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("JeffreyCHoover/metaModelFitR")
JeffreyCHoover/metaModelFitR documentation built on June 9, 2020, 3:24 a.m.