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metagam  

Meta-Analysis of Generalized Additive Models
View on CRAN: Click here


Download and install metagam package within the R console
Install from CRAN:
install.packages("metagam")

Install from Github:
library("remotes")
install_github("cran/metagam")

Install by package version:
library("remotes")
install_version("metagam", "0.4.1")



Attach the package and use:
library("metagam")
Maintained by
Oystein Sorensen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-02-20
Latest Update: 2025-07-01
Description:
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) .
How to cite:
Oystein Sorensen (2020). metagam: Meta-Analysis of Generalized Additive Models. R package version 0.4.1, https://cran.r-project.org/web/packages/metagam. Accessed 30 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:29), 0.1.0 (2020-02-20 11:20), 0.1.1 (2020-05-11 18:10), 0.1.2 (2020-06-22 20:30), 0.2.0 (2020-11-12 09:10), 0.3.0 (2021-11-12 12:40), 0.3.1 (2021-11-14 08:50), 0.4.0 (2023-05-05 20:20)
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Complete documentation for metagam
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