ACE_CI: Bootstrap ACE confidence intervals

In gap: Genetic Analysis Package

Bootstrap ACE confidence intervals

Description

Estimates ACE components (additive genetic, shared environment, unique environment) using nonparametric bootstrap resampling of twin data (MZ and DZ pairs).

Usage

ACE_CI(
  mzData,
  dzData,
  selV,
  n.boot = 1000,
  conf.level = 0.95,
  use = "complete.obs",
  bounds = FALSE,
  seed = NULL,
  verbose = interactive()
)

Arguments

mzData	Data frame for monozygotic twins.
dzData	Data frame for dizygotic twins.
selV	Character vector of length 2 specifying twin variables.
n.boot	Number of bootstrap replications.
conf.level	Confidence level for percentile intervals.
use	Missing-data handling method passed to cor().
bounds	Logical; constrain ACE estimates to [0,1].
seed	Random seed for reproducibility.
verbose	Logical; show progress messages.

Value

A list containing:

• observed: ACE estimates from original data

• bootstrap: bootstrap replicate estimates

• summary: bootstrap summary statistics

Examples

## Not run: 
set.seed(123)
res <- ACE_CI(mzData = mzm, dzData = dzm, selV = c("bmi1","bmi2"))
print(res)

## End(Not run)

gap documentation built on Oct. 27, 2026, 1:07 a.m.