Rhat.mice: Rhat Convergence Statistic of a 'mice' Imputation

In miceadds: Some Additional Multiple Imputation Functions, Especially for 'mice'

Rhat Convergence Statistic of a mice Imputation

Description

Computes the Rhat statistic for a mids object.

Usage

Rhat.mice(mice.object)

Arguments

mice.object

Object of class mids

Value

Data frame containing the Rhat statistic for mean and variances for all variables of the Markov chains used for imputation

References

Gelman, A., & Hill, J. (2007). Data analysis using regression and multilevel/hierarchical models. Cambridge University Press.

Examples

## Not run: 
#############################################################################
# EXAMPLE 1: Rhat statistic for nhanes data
#############################################################################

library(mice)
data(nhanes, package="mice")
set.seed(9090)

# nhanes 3 parallel chains
imp1 <- mice::mice( nhanes, m=3, maxit=10, method=rep("norm", 4 ))
miceadds::Rhat.mice( imp1 )
  ##     variable MissProp Rhat.M.imp Rhat.Var.imp
  ##   1      bmi       36  1.0181998     1.155807
  ##   2      hyp       32  1.0717677     1.061174
  ##   3      chl       40  0.9717109     1.318721

## End(Not run)

miceadds documentation built on May 29, 2024, 11:05 a.m.