Interpret brma Results — interpret • RoBMA

Creates a concise textual interpretation of fitted RoBMA brma objects.

Usage

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, ...)

Arguments

object: a fitted model object.
...: additional arguments passed to methods. The brma method reserves ...; unused arguments error, except deprecated output_scale, which is accepted with a warning.
output_measure: optional effect-size measure used for the pooled effect only. Supported conversion targets include "SMD", "COR", "ZCOR", and "OR" when the input scale allows conversion.
transform: optional display transformation. "EXP" exponentiates log-scale "OR", "RR", "HR", and "IRR" pooled effects; aliases for no transform are accepted.
conditional: whether to summarize conditional estimates for RoBMA product-space objects. Defaults to FALSE.
scope: character vector specifying sections to include. Use "core" for the default concise interpretation, "all" for all sections, or any of "components", "estimates", "moderators", "scale", and "bias".
probs: two quantiles used for credible intervals. Defaults to c(.025, .975).
central: whether estimates are described by posterior mean or median. Defaults to NULL, which uses the posterior mean, except for transform = "EXP" pooled effects where the posterior mode is used.
priors: whether to print prior distributions after the interpretation. Defaults to FALSE.
digits: number of digits after the decimal point.
x: an interpret.brma object.

Value

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".