BaBooN: Bayesian Bootstrap Predictive Mean Matching - Multiple and Single Imputation for Discrete Data
Version 0.2-0

Included are two variants of Bayesian Bootstrap Predictive Mean Matching to multiply impute missing data. The first variant is a variable-by-variable imputation combining sequential regression and Predictive Mean Matching (PMM) that has been extended for unordered categorical data. The Bayesian Bootstrap allows for generating approximately proper multiple imputations. The second variant is also based on PMM, but the focus is on imputing several variables at the same time. The suggestion is to use this variant, if the missing-data pattern resembles a data fusion situation, or any other missing-by-design pattern, where several variables have identical missing-data patterns. Both variants can be run as 'single imputation' versions, in case the analysis objective is of a purely descriptive nature.

AuthorFlorian Meinfelder [aut, cre], Thorsten Schnapp [aut]
Date of publication2015-06-15 17:30:31
MaintainerFlorian Meinfelder <florian.meinfelder@uni-bamberg.de>
LicenseGPL (>= 2)
Version0.2-0
URL http://www.r-project.org
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("BaBooN")

Getting started

Package overview

Popular man pages

BBPMMcol: (Multiple) Imputation through Bayesian Bootstrap Predictive...
BBPMMrow: (Multiple) Imputation of variable vectors
dmi: Data monotonicity index for missing values
impdiagnosticconversion: Conversion from BBPMM output to mice's mids object or...
rowimpprep: Missing-data pattern identifier
SummaryImp: Summary method for objects of class 'imp'
SummaryImpprep: Summary method for objects of class 'impprep'
See all...

All man pages Function index File listing

Man pages

BaBooN-package: Package for multiple imputation of missing values based on...
BBPMMcol: (Multiple) Imputation through Bayesian Bootstrap Predictive...
BBPMMrow: (Multiple) Imputation of variable vectors
dmi: Data monotonicity index for missing values
impdiagnosticconversion: Conversion from BBPMM output to mice's mids object or...
MIinference: Multiple Imputation inference
rowimpprep: Missing-data pattern identifier
SummaryImp: Summary method for objects of class 'imp'
SummaryImpprep: Summary method for objects of class 'impprep'

Functions

BB.mod.stab.glm Source code
BB.mod.stab.mlog Source code
BBPMM Man page Source code
BBPMM.row Man page Source code
BBPMMcol Man page
BBPMMrow Man page
BaBooN-package Man page
BayesBoot Source code
MI.inference Man page Source code
PMMC Source code
PMMsearchMet Source code
dmi Man page Source code
impChainConversion Source code
impdiagnosticconversion Man page Source code
inbind Source code
rowimpPrep Man page Source code
summary.imp Man page Source code
summary.impprep Man page Source code

Files

src
src/Makevars
src/PMM.cpp
src/Makevars.win
NAMESPACE
NEWS
R
R/classes.R
R/PMMC.R
R/BBPMM.R
R/dmi.R
R/rowimpprep.R
R/impdiagnosticconversion.R
R/BB.R
R/BBPMMrow.R
R/BBmodstab_mlog.R
R/inbind.R
R/PMMsearch.R
R/BBmodstab_glm.R
R/MIinference.R
MD5
DESCRIPTION
man
man/SummaryImp.Rd
man/rowimpprep.Rd
man/BaBooN-package.Rd
man/MIinference.Rd
man/dmi.Rd
man/BBPMMcol.Rd
man/BBPMMrow.Rd
man/impdiagnosticconversion.Rd
man/SummaryImpprep.Rd
BaBooN documentation built on May 19, 2017, 10:43 p.m.

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