convergence.plot: Convergence Plot of mi Object

Description Usage Arguments Details Author(s) References Examples

Description

Function to plot trace of mi iterative samples.

Usage

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convergence.plot ( mi.object, ... )
conv.plot ( mi.object, ... )

Arguments

mi.object

mi object generated from mi function

...

Other options for traceplot function.

Details

Convergence plot plots the convergence of the means and the standard deviations of each variable for the different imputations.

Author(s)

Masanao Yajima yajima@stat.columbia.edu, M. Grazia Pittau grazia@stat.columbia.edu, Andrew Gelman gelman@stat.columbia.edu

References

Yu-Sung Su, Andrew Gelman, Jennifer Hill, Masanao Yajima. (2011). “Multiple Imputation with Diagnostics (mi) in R: Opening Windows into the Black Box”. Journal of Statistical Software 45(2).

Examples

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# NOT RUN
#========================================================
#  data(CHAIN)
#  CHAIN <- mi.preprocess(CHAIN)
#  imp.CHAIN <- mi(CHAIN, n.iter=6, add.noise=noise.control(post.run.iter=0))
#  convergence.plot(imp.CHAIN,mfrow=c(2,4))
#========================================================

mi documentation built on May 2, 2019, 4:43 p.m.

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