Robust Meta-Analysis and Meta-Regression

Performs meta-analysis and meta-regression using standard and robust methods with confidence intervals based on the profile likelihood. Robust methods are based on alternative distributions for the random effect, either the t-distribution (Lee and Thompson, 2008 or Baker and Jackson, 2008 ) or mixtures of normals (Beath, 2014 ).


Reference manual

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install.packages("metaplus")

1.0-10 by Ken Beath, 14 days ago


Browse source code at https://github.com/cran/metaplus


Authors: Ken Beath [aut, cre] , Ben Bolker [ctb] , R Development Core Team [ctb]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports bbmle, metafor, boot, methods, numDeriv, MASS, graphics, stats, parallel, Rfast, fastGHQuad, lme4

Suggests R.rsp, kableExtra, tidyverse


Suggested by ggstatsplot, insight, statsExpressions.


See at CRAN