| summary.brma | R Documentation |
summary.brma creates summary tables for a
brma object. For RoBMA objects, inclusion summaries are printed before
parameter estimates.
## S3 method for class 'brma'
summary(
object,
probs = c(0.025, 0.5, 0.975),
include_mcmc_diagnostics = TRUE,
standardized_coefficients = FALSE,
conditional = FALSE,
logBF = FALSE,
BF01 = FALSE,
...
)
## S3 method for class 'summary.brma'
print(x, ...)
## S3 method for class 'brma'
print(x, ...)
object |
a fitted brma object |
probs |
quantiles of the posterior samples to be displayed.
Defaults to |
include_mcmc_diagnostics |
whether to include MCMC diagnostics in the output.
Defaults to |
standardized_coefficients |
whether to show standardized meta-regression coefficients.
Defaults to |
conditional |
whether to include conditional estimates for RoBMA
product-space objects. Defaults to |
logBF |
whether to show inclusion Bayes factors on the log scale.
Defaults to |
BF01 |
whether to show inverse inclusion Bayes factors. Defaults to
|
... |
additional arguments |
x |
a |
A list of class summary.brma with model name, optional RoBMA
inclusion tables, common estimates, moderator estimates, scale estimates,
publication-bias estimates, and optional conditional estimates. The printed
form displays the non-empty tables.
brma(), brma.glmm()
## Not run:
if (requireNamespace("metadat", quietly = TRUE)) {
data(dat.lehmann2018, package = "metadat")
fit <- bPET(
yi = yi,
vi = vi,
data = dat.lehmann2018,
measure = "SMD",
seed = 1,
silent = TRUE
)
summary(fit)
}
## End(Not run)
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