R/summary.ecmeta.R
summary.ecmeta_ml.Rd
Summary statistics for a meta-analytic model fit using ecmeta()
with
method == "ml"
.
# S3 method for ecmeta_ml summary(object, level = 0.95, ...)
object | An |
---|---|
level | The confidence level. Default is |
... | Currently unused. |
A data.frame
with one row for each parameter (mu
and sigma
).
There is always one column named estimate
containing the point estimates.
In addition, if a variance-covariance matrix was estimated, then there are
additional columns for the standard errors as well as the lower and upper
confidence limits.
object
contains estimates of logsigma
rather than sigma
. Point
estimates and confidence intervals for sigma
are computed by simply
exponentiating logsigma
; the standard error for sigma
is estimated
using the delta method.