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 test="t"
or test="knha"
, then zval
is called tval
in the data frame that is returned by the function.
Wolfgang Viechtbauer wvb@metafor-project.org https://www.metafor-project.org
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
rma.uni
, rma.mh
, rma.peto
, rma.glmm
, and rma.mv
for functions to fit models for which model coefficients/tables can be extracted.
### 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) ### extract model coefficients coef(res) ### extract model coefficient table coef(summary(res))