R/summary.ecmeta.R
summary.ecmeta_ml.RdSummary 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.