AVGM: Averaged Generalized Method of Moments Imputation (AVGM)

In DLMRMV: Distributed Linear Regression Models with Response Missing Variables

Averaged Generalized Method of Moments Imputation (AVGM)

Description

This function performs multiple imputations on missing values in the response variable Y, using AVGMMI logic with support for grouped data. It is fully self-contained.

Usage

AVGM(data, M, midx = 1)

Arguments

data	A data frame where the first column is the response variable (Y), and others are predictors (X).
M	Number of multiple imputations.
midx	Integer indicating which column is the response variable (default = 1).

Value

A list containing:

betahat	Final averaged regression coefficient estimates.
Yhat	Imputed response variable with all missing values filled in.
comm	Completion flag (1 = success).

Examples

set.seed(123)
data <- data.frame(
  y = c(rnorm(50), rep(NA, 10)),
  x1 = rnorm(60),
  x2 = rnorm(60)
)
result <- AVGM(data, M = 10)
head(result$Yhat)

DLMRMV documentation built on Aug. 8, 2025, 6:27 p.m.