| interpret | R Documentation |
Creates a concise textual interpretation of fitted RoBMA
brma objects.
interpret(object, ...)
## Default S3 method:
interpret(object, ...)
## S3 method for class 'brma'
interpret(
object,
output_measure = NULL,
transform = NULL,
conditional = FALSE,
scope = "core",
probs = c(0.025, 0.975),
central = NULL,
priors = FALSE,
digits = 3,
...
)
## S3 method for class 'interpret.brma'
print(x, ...)
object |
a fitted model object. |
... |
additional arguments passed to methods. The |
output_measure |
optional effect-size measure used for the pooled
effect only. Supported conversion targets include |
transform |
optional display transformation. |
conditional |
whether to summarize conditional estimates for RoBMA
product-space objects. Defaults to |
scope |
character vector specifying sections to include. Use
|
probs |
two quantiles used for credible intervals. Defaults to
|
central |
whether estimates are described by posterior mean or median.
Defaults to |
priors |
whether to print prior distributions after the interpretation.
Defaults to |
digits |
number of digits after the decimal point. |
x |
an |
A character vector with class "interpret.brma". The
normalized BayesTools interpretation records are stored in the
"records" attribute; the brma method also stores
"scope", "conditional", and optionally "priors".
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