metafor (version 2.4-0)

coef.rma: Extract the Model Coefficients and Coefficient Table from 'rma' and 'summary.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 rma
coef(object, …)

# S3 method for summary.rma coef(object, …)

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:

estimate

estimated model coefficient(s).

se

corresponding standard error(s).

zval

corresponding test statistic(s).

pval

corresponding p-value(s).

ci.lb

corresponding lower bound of the confidence interval(s).

ci.ub

corresponding upper bound of the confidence interval(s).

When the model was fitted with the Knapp and Hartung (2003) method (i.e., test="knha" in the rma.uni function) or with test="t" in the rma.glmm and rma.mv functions, 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. https://www.jstatsoft.org/v036/i03.

See Also

rma.uni, rma.mh, rma.peto, rma.glmm, rma.mv

Examples

Run this code
# NOT RUN {
### meta-analysis of the log risk ratios using a mixed-effects model
### with two moderators (absolute latitude and publication year)
res <- rma(measure="RR", ai=tpos, bi=tneg, ci=cpos, di=cneg,
           mods = ~ ablat + year, data=dat.bcg)
coef(res)
coef(summary(res))
# }

Run the code above in your browser using DataCamp Workspace