Other packages > Find by keyword >

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", "0.4.0")



Attach the package and use:
library("metagam")
Maintained by
Oystein Sorensen
[Scholar Profile | Author Map]
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. Accessed 05 Apr. 2025.
Previous versions and publish date:
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)
Other packages that cited metagam R package
View metagam citation profile
Other R packages that metagam depends, imports, suggests or enhances
Complete documentation for metagam
Downloads during the last 30 days
03/0603/0703/0803/0903/1003/1103/1203/1303/1403/1503/1603/1703/1803/1903/2003/2103/2203/2303/2403/2503/2603/2703/2803/2903/3003/3104/0104/0204/0304/04Downloads for metagam024681012141618202224TrendBars

Today's Hot Picks in Authors and Packages

TrendInTrend  
Odds Ratio Estimation and Power Calculation for the Trend in Trend Model
Estimation of causal odds ratio and power calculation given trends in exposure prevalenceand outcome ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
leapp  
Latent Effect Adjustment After Primary Projection
These functions take a gene expression value matrix, a primary covariate vector, an additional know ...
Download / Learn more Package Citations See dependency  
deepdive  
Deep Learning for General Purpose
Aims to provide simple intuitive functions to create quick prototypes of artificial neural network o ...
Download / Learn more Package Citations See dependency  
whitestrap  
White Test and Bootstrapped White Test for Heteroskedasticity
Formal implementation of White test of heteroskedasticity and a bootstrapped version of it, develope ...
Download / Learn more Package Citations See dependency  
IGST  
Informative Gene Selection Tool
Mining informative genes with certain biological meanings are important for clinical diagnosis of di ...
Download / Learn more Package Citations See dependency  

23,990

R Packages

207,311

Dependencies

64,809

Author Associations

23,991

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA