Meta-Analysis of Generalized Additive Models

Meta-analysis of generalized additive models and generalized additive mixed models. A typical use case is when data cannot be shared across locations, and an overall meta-analytic fit is sought. 'metagam' provides functionality for removing individual participant data from models computed using the 'mgcv' and 'gamm4' packages such that the model objects can be shared without exposing individual data. Furthermore, methods for meta-analysing these fits are provided. The implemented methods are described in Sorensen et al. (2020), , extending previous works by Schwartz and Zanobetti (2000) and Crippa et al. (2018) .


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.1.2 by Oystein Sorensen, 3 months ago,

Report a bug at

Browse source code at

Authors: Oystein Sorensen [aut, cre] , Andreas M. Brandmaier [aut] , Athanasia Mo Mowinckel [aut]

Documentation:   PDF Manual  

Task views: Meta-Analysis

GPL-3 license

Imports dplyr, furrr, ggplot2, knitr, metafor, metap, purrr, rlang, stringr, tidyr

Suggests future, multtest, mgcv, gamm4, gratia, roxygen2, rmarkdown, devtools, covr, viridis, testthat

See at CRAN