REBS1S: Meta-analysis for random effects - bootstrap
In YandaLang/RankBasedMeta: Rank-based Mata-analysis
REBS1S R Documentation
Meta-analysis for random effects - bootstrap
Description
Meta-analysis for random effects - bootstrap
Usage
REBS1S(info,alpha=0.05)
Arguments
info
summary statistics
iteration
number of iterations for bootstrap, default iteration=1000
alpha
significance level, default alpha=0.05
Note
format for summary statistics (point estimate 1, point estimate 2, sample size 1, sample size 2)
Author(s)
Yanda Lang, Joseph McKean, Omer Ozturk
Examples
study1 <- c(247.5, 178.0, 16, 17)
study2 <- c(270.0, 167.0, 23, 23)
info <- rbind(study1,study2)
REBS1S(info,alpha=0.05)
YandaLang/RankBasedMeta documentation built on July 20, 2023, 12:44 p.m.
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| REBS1S | R Documentation |
Meta-analysis for random effects - bootstrap
Description
Meta-analysis for random effects - bootstrap
Usage
REBS1S(info,alpha=0.05)
Arguments
info |
summary statistics |
iteration |
number of iterations for bootstrap, default iteration=1000 |
alpha |
significance level, default alpha=0.05 |
Note
format for summary statistics (point estimate 1, point estimate 2, sample size 1, sample size 2)
Author(s)
Yanda Lang, Joseph McKean, Omer Ozturk
Examples
study1 <- c(247.5, 178.0, 16, 17)
study2 <- c(270.0, 167.0, 23, 23)
info <- rbind(study1,study2)
REBS1S(info,alpha=0.05)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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