Summary method for 'sim' objects

# S3 method for sim
summary(
  object,
  estimate = NULL,
  se = NULL,
  confint = !is.null(se) && !is.null(true),
  true = NULL,
  fun,
  names = NULL,
  unique.names = TRUE,
  minimal = FALSE,
  level = 0.95,
  quantiles = c(0, 0.025, 0.5, 0.975, 1),
  ...
)

Arguments

object: sim object
estimate: (optional) columns with estimates
se: (optional) columns with standard error estimates
confint: (optional) list of pairs of columns with confidence limits
true: (optional) vector of true parameter values
fun: (optional) summary function
names: (optional) names of estimates
unique.names: if TRUE, unique.names will be applied to column names
minimal: if TRUE, minimal summary will be returned
level: confidence level (0.95)
quantiles: quantiles (0,0.025,0.5,0.975,1)
...: additional levels to lower-level functions