coef.rma: Model Coefficients for rma Objects

Description

The coef function extracts the estimated model coefficients from objects of class "rma". For objects of class "summary.rma", the model coefficients, corresponding standard errors, test statistics, p-values, and confidence interval bounds are extracted.

Usage

## S3 method for class 'rma':
coef(object, \dots)
## S3 method for class 'summary.rma':
coef(object, \dots)

Arguments

object

an object of class "rma" or "summary.rma".

...

other arguments.

Value

Either a vector with the estimated model coefficient(s) or a data frame with the following elements:
estimateestimated model coefficient(s).
secorresponding standard error(s).
zvalcorresponding test statistic(s).
pvalcorresponding p-value(s).
ci.lbcorresponding lower bound of the confidence interval(s).
ci.ubcorresponding upper bound of the confidence interval(s).
When the model was fitted with the Knapp and Hartung (2003) method (i.e., knha=TRUE in the rma.uni function), then zval is called tval in the data frame that is returned by the function.

References

Viechtbauer, W. (2010). Conducting meta-analyses in R with the metafor package. Journal of Statistical Software, 36(3), 1--48. http://www.jstatsoft.org/v36/i03/.

Examples

Run this code

### load BCG vaccine data
data(dat.bcg)

### meta-analysis of the log relative risks using a mixed-effects model
### with two moderators (absolute latitude and publication year)
res <- rma(ai=tpos, bi=tneg, ci=cpos, di=cneg, mods = ~ ablat + year,
           data=dat.bcg, measure="RR", method="REML")
coef(res)
coef(summary(res))

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