coef.permutest.rma.uni: Extract the Model Coefficient Table from 'permutest.rma.uni'...

In wviechtb/metafor: Meta-Analysis Package for R

Extract the Model Coefficient Table from 'permutest.rma.uni' Objects

Description

Function to extract the estimated model coefficients, corresponding standard errors, test statistics, p-values (based on the permutation tests), and confidence interval bounds from objects of class "permutest.rma.uni".

Usage

## S3 method for class 'permutest.rma.uni'
coef(object, ...)

Arguments

object	an object of class "permutest.rma.uni".
...	other arguments.

Value

A data frame with the following elements:

estimate	estimated model coefficient(s).
se	corresponding standard error(s).
zval	corresponding test statistic(s).
pval	p-value(s) based on the permutation test(s).
ci.lb	lower bound of the (permutation-based) confidence interval(s).
ci.ub	upper bound of the (permutation-based) confidence interval(s).

When the model was fitted with test="t", test="knha", test="hksj", or test="adhoc", then zval is called tval in the data frame that is returned by the function.

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

See Also

permutest for the function to conduct permutation tests and rma.uni for the function to fit models for which permutation tests can be conducted.

Examples

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

### fit mixed-effects model with absolute latitude and publication year as moderators
res <- rma(yi, vi, mods = ~ ablat + year, data=dat)

### carry out permutation test
## Not run: 
set.seed(1234) # for reproducibility
sav <- permutest(res)
coef(sav)

## End(Not run)

wviechtb/metafor documentation built on Dec. 4, 2024, 1:03 a.m.