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metagam
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", "0.4.0")
Attach the package and use:
library("metagam")
Maintained by
Oystein Sorensen
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-02-20
Latest Update: 2023-05-05
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 0.4.0, https://cran.r-project.org/web/packages/metagam
Previous versions and publish date:
Other packages that cited metagam R package
View metagam citation profile
Other R packages that metagam depends,
imports, suggests or enhances
Functions, R codes and Examples using
the metagam R package
Some associated functions: getmasd . make_heterogeneity_data . metagam-package . metagam . plot.metagam . plot_between_study_sd . plot_dominance . plot_heterogeneity . plot_heterogeneity_p . plot_heterogeneity_q . print.metagam . print.striprawdata . print.summary.metagam . strip_rawdata . summary.metagam . summary.striprawdata .
Some associated R codes: metagam.R . metagam_package.R . misc.R . plot_between_study_sd.R . plot_dominance.R . plot_heterogeneity.R . plot_metagam.R . print_metagam.R . strip_rawdata.R . summary_metagam.R . summary_strip_rawdata.R . Full metagam package functions and examples
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