imputeAgesInit: Initialize Age Imputation

In penetrance: Methods for Penetrance Estimation in Family-Based Studies

Initialize Age Imputation

Description

Initializes the age imputation process by filling missing ages with random values between a threshold and maximum age.

Usage

imputeAgesInit(data, threshold, max_age)

Arguments

data	A data frame containing family-based data
threshold	Minimum age value for initialization
max_age	Maximum age value for initialization

Value

A list containing:

data	The data frame with initialized ages
na_indices	Indices of missing age values

Examples

# Create sample data
data <- data.frame(
  family = c(1, 1),
  individual = c(1, 2),
  father = c(NA, 1),
  mother = c(NA, NA),
  sex = c(1, 2),
  aff = c(1, 0),
  age = c(NA, NA),
  geno = c("1/2", NA),
  isProband = c(1, 0)
)

# Initialize ages with random values between 20 and 94
result <- imputeAgesInit(data, threshold = 20, max_age = 94)

# Access the results
imputed_data <- result$data
missing_indices <- result$na_indices

penetrance documentation built on April 4, 2025, 12:29 a.m.