methods.confint.rma: Methods for 'confint.rma' Objects

In wviechtb/metafor: Meta-Analysis Package for R

Methods for 'confint.rma' Objects

Description

Methods for objects of class "confint.rma" and "list.confint.rma".

Usage

## S3 method for class 'confint.rma'
as.data.frame(x, ...)
## S3 method for class 'list.confint.rma'
as.data.frame(x, ...)

Arguments

x	an object of class "confint.rma" or "list.confint.rma".
...	other arguments.

Author(s)

Wolfgang Viechtbauer [e-mail] https://www.metafor-project.org

References

Viechtbauer, W. (2010). Conducting meta-analyses in R with the metafor package. Journal of Statistical Software, 36(3), 1–48. ⁠https://doi.org/10.18637/jss.v036.i03⁠

Examples

### copy data into 'dat'
dat <- dat.bcg

### calculate log risk ratios and corresponding sampling variances
dat <- escalc(measure="RR", ai=tpos, bi=tneg, ci=cpos, di=cneg, data=dat)

### fit random-effects model
res <- rma(yi, vi, data=dat)

### get 95% CI for tau^2, tau, I^2, and H^2
sav <- confint(res)
sav

### turn object into a regular data frame
as.data.frame(sav)

############################################################################

### copy data into 'dat'
dat <- dat.berkey1998

### construct block diagonal var-cov matrix of the observed outcomes based on variables v1i and v2i
V <- vcalc(vi=1, cluster=author, rvars=c(v1i, v2i), data=dat)

### fit multivariate model
res <- rma.mv(yi, V, mods = ~ outcome - 1, random = ~ outcome | trial, struct="UN", data=dat)

### get 95% CI for variance components and correlation
sav <- confint(res)
sav

### turn object into a regular data frame
as.data.frame(sav)

wviechtb/metafor documentation built on April 21, 2024, 5 p.m.