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getspres
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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]
[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.
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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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