| coef.rma {metafor} | R Documentation |
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.
## S3 method for class 'rma' coef(object, ...) ## S3 method for class 'summary.rma' coef(object, ...)
object |
an object of class |
... |
other arguments. |
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.
Wolfgang Viechtbauer wvb@metafor-project.org
package website: http://www.metafor-project.org/
author homepage: http://www.wvbauer.com/
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/.
rma.uni, rma.mh, rma.peto, rma.glmm, rma.mv
### 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))