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getspres  

SPRE Statistics for Exploring Heterogeneity in Meta-Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("getspres", "0.2.0")



Attach the package and use:
library("getspres")
Maintained by
Lerato E Magosi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-08-28
Latest Update: 2021-05-09
Description:
An implementation of SPRE (standardised predicted random-effects) statistics in R to explore heterogeneity in genetic association meta- analyses, as described by Magosi et al. (2019) . SPRE statistics are precision weighted residuals that indicate the direction and extent with which individual study-effects in a meta-analysis deviate from the average genetic effect. Overly influential positive outliers have the potential to inflate average genetic effects in a meta-analysis whilst negative outliers might lower or change the direction of effect. See the 'getspres' website for documentation and examples .
How to cite:
Lerato E Magosi (2019). getspres: SPRE Statistics for Exploring Heterogeneity in Meta-Analysis. R package version 0.2.0, https://cran.r-project.org/web/packages/getspres. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0 (2019-08-28 16:10), 0.1.1 (2020-03-31 16:10)
Other packages that cited getspres R package
View getspres citation profile
Other R packages that getspres depends, imports, suggests or enhances
Complete documentation for getspres
Functions, R codes and Examples using the getspres R package
Some associated functions: getspres . heartgenes214 . plotspres . 
Some associated R codes: compute_spre_statistics.R . data.R . driver_compute_spre_statistics.R . driver_generate_forestplot_incl_spres.R . generate_forestplot_incl_spres.R . getspres_welcome.R .  Full getspres package functions and examples
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