Links[{"label":"metaGLMM.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/metaGLMM/refman/metaGLMM.html"},{"label":"metaGLMM.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/metaGLMM/metaGLMM.pdf"},{"label":"Binary aggregate outcomes","section":"","type":"","url":"https://cran.r-project.org/web/packages/metaGLMM/vignettes/binary.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/metaGLMM/vignettes/binary.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/metaGLMM/vignettes/binary.R"},{"label":"Custom families","section":"","type":"","url":"https://cran.r-project.org/web/packages/metaGLMM/vignettes/custom-family.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/metaGLMM/vignettes/custom-family.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/metaGLMM/vignettes/custom-family.R"},{"label":"Gaussian aggregate outcomes","section":"","type":"","url":"https://cran.r-project.org/web/packages/metaGLMM/vignettes/gaussian.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/metaGLMM/vignettes/gaussian.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/metaGLMM/vignettes/gaussian.R"},{"label":"Getting started with metaGLMM","section":"","type":"","url":"https://cran.r-project.org/web/packages/metaGLMM/vignettes/getting-started.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/metaGLMM/vignettes/getting-started.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/metaGLMM/vignettes/getting-started.R"},{"label":"Likelihood-based inference","section":"","type":"","url":"https://cran.r-project.org/web/packages/metaGLMM/vignettes/inference.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/metaGLMM/vignettes/inference.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/metaGLMM/vignettes/inference.R"},{"label":"Poisson rate outcomes","section":"","type":"","url":"https://cran.r-project.org/web/packages/metaGLMM/vignettes/poisson.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/metaGLMM/vignettes/poisson.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/metaGLMM/vignettes/poisson.R"}]
TextReference manual: metaGLMM.html , metaGLMM.pdf Vignettes: Binary aggregate outcomes ( source , R code ) Custom families ( source , R code ) Gaussian aggregate outcomes ( source , R code ) Getting started with metaGLMM ( source , R code ) Likelihood-based inference ( source , R code ) Poisson rate outcomes ( source , R code ) Prediction and forest plots ( source , R code )