summary.sim: Summary method for 'sim' objects

In kkholst/lava: Latent Variable Models

Summary method for 'sim' objects

Description

Summary method for 'sim' objects

Usage

## S3 method for class '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

kkholst/lava documentation built on Feb. 22, 2024, 4:07 p.m.