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

Description Usage Arguments Value Author(s) References Examples

Description

Computes the Rhat statistic for a mids object.

Usage

1
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

Author(s)

Alexander Robitzsch

References

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

Examples

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
## 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 , imputationMethod=rep("norm" , 4 ) )
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)


Search within the miceadds package
Search all R packages, documentation and source code

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.