summary.margstd_boot {risks}

Summary for models using marginal standardization

Description

Summary for models using marginal standardization

Usage

## S3 method for class 'margstd_boot'
summary(
  object,
  dispersion = NULL,
  correlation = FALSE,
  symbolic.cor = FALSE,
  level = 0.95,
  bootrepeats = 1000,
  bootci = c("bca", "normal", "nonpar"),
  ...
)

Arguments

object

Model

dispersion

Not used

correlation

Not used

symbolic.cor

Not used

level

Confidence level, defaults to 0.95.

bootrepeats

Bootstrap repeats for standard errors. Defaults to 1000. Consider increasing.

bootci

Type of bootstrap confidence interval:

• "bca" Default. Parametric BCa (bias-corrected accelerated) confidence intervals.

• "normal" Parametric normality-based confidence intervals, which require lower repeat numbers but are less accurate and may result in invalid results for ratios.

• "nonpar" Non-parametric BCa confidence intervals, which should be used with caution because of the risk of sparse-data bias with non-parametric bootstrapping.

...

Not used

Value

Model summary (list)