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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), <doi:10.1016/j.neuroimage.2020.117416>, extending previous works by Schwartz and Zanobetti (2000) and Crippa et al. (2018) <doi:10.6000/1929-6029.2018.07.02.1>.
Version: | 0.4.0 |
Imports: | mgcv, ggplot2, metafor, rlang |
Suggests: | roxygen2, knitr, rmarkdown, devtools, covr, testthat (≥ 2.1.0) |
Published: | 2023-05-05 |
DOI: | 10.32614/CRAN.package.metagam |
Author: | Oystein Sorensen |
Maintainer: | Oystein Sorensen <oystein.sorensen at psykologi.uio.no> |
BugReports: | https://github.com/Lifebrain/metagam/issues |
License: | GPL-3 |
URL: | https://lifebrain.github.io/metagam/, https://github.com/Lifebrain/metagam |
NeedsCompilation: | no |
Citation: | metagam citation info |
Materials: | README |
In views: | MetaAnalysis |
CRAN checks: | metagam results |
Reference manual: | metagam.pdf |
Vignettes: |
Dominance Plots Heterogeneity Plots Introduction Multivariate Smooth Terms Simultaneous confidence intervals and p-values |
Package source: | metagam_0.4.0.tar.gz |
Windows binaries: | r-devel: metagam_0.4.0.zip, r-release: metagam_0.4.0.zip, r-oldrel: metagam_0.4.0.zip |
macOS binaries: | r-release (arm64): metagam_0.4.0.tgz, r-oldrel (arm64): metagam_0.4.0.tgz, r-release (x86_64): metagam_0.4.0.tgz, r-oldrel (x86_64): metagam_0.4.0.tgz |
Old sources: | metagam archive |
Please use the canonical form https://CRAN.R-project.org/package=metagam to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.