as.data.frame.metaGLMM
                        Convert a 'metaGLMM' Fit to Aggregate-Row Data
as_metafor_data         Create Study-Level Data for 'metafor' Workflows
chu2020                 dataset of Chu et al. (2020)
ci_metaGLMM             Legacy Confidence-Interval Dispatcher
confint.metaGLMM        Confidence Intervals for a 'metaGLMM' Fit
confint_AN              Wald Confidence Intervals
confint_GSBC            Experimental Godambe-Calibrated Bartlett
                        Intervals
confint_PL              Profile-Likelihood Confidence Intervals
confint_SBC             Simple Bartlett-Corrected Confidence Intervals
forest                  Forest Plots for 'metaGLMM' Fits
forest.metaGLMM         Draw a Forest Plot
likelihood              Evaluate the aggregate-data GLMM negative log
                        likelihood.
long2020                dataset of Long et al. (2020)
make_ll_fun             Build the quasi-Monte Carlo likelihood function
                        used by 'metaGLMM()'.
make_ll_fun.fast        Build the fast likelihood function using
                        Gaussian closed form or GHQ.
metaGLMM                Fit an Aggregate-Data Generalized Linear
                        Mixed-Effects Meta-Analysis
metaGLMM_family         Create a custom aggregate-data family
                        specification.
mle2_fit                Extract the Internal 'mle2' Fit
predict.metaGLMM        Predict from a 'metaGLMM' Fit
profile_ll              Evaluate a Profile-Likelihood Ratio
profile_ll_sbc          Evaluate a Simple Bartlett-Corrected Profile
                        Ratio
rutter2021              dataset of Rutter et al. (2021)
summary.metaGLMM        Summarize a 'metaGLMM' Fit
