summary.margstd_boot: Summary for models using marginal standardization

In stopsack/risks: Estimate Risk Ratios and Risk Differences using Regression

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)

stopsack/risks documentation built on April 5, 2025, 6:02 p.m.