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mice (version 2.2)

Multivariate Imputation by Chained Equations

Description

Multiple Imputation using Fully Conditional Specification

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Version

Install

install.packages('mice')

Monthly Downloads

83,091

Version

2.2

License

GPL-2 | GPL-3

Maintainer

Stef van Buuren

Last Published

January 14th, 2010

Functions in mice (2.2)

lm.mids

Linear Regression on Multiply Imputed Data

densityplot.mids

Density plot of observed and imputed data

mice.impute.passive

Passive Imputation

glm.mids

Generalized linear model for mids object

Imputation by random forests

mice.impute.sample

Imputation by simple random sampling

fico

Fraction of incomplete cases among cases with observed

mice.impute.norm

Imputation by Bayesian Linear Regression

mice.impute.lda

Imputation by linear discriminant analysis

is.mira

Check for mira object

as.mids

Converts an multiply imputed dataset (long format) into a mids object

ifdo

Conditional imputation helper

with.mids

Evaluate an expression in multiple imputed datasets

mice.impute.pmm

Imputation by Predictive Mean Matching

md.pairs

Missing data pattern by variable pairs

complete

Creates a Complete Flat File from a Multiply Imputed Data Set

ccn

Complete cases n

mice.impute.fastpmm

Imputation by fast predictive mean matching

mice.impute.cart

Imputation by classification and regression trees

mira

Multiply Imputed Repeated Analyses

mids2mplus

Export mids object to Mplus

mice.impute.logreg

Imputation by Logistic Regression

Incomplete cases

flux

Influx and outflux of multivariate missing data patterns

is.mids

Check for mids object

nhanes2

NHANES example - mixed numerical and discrete variables

md.pattern

Missing Data Pattern

popmis

Hox pupil popularity data with missing popularity scores

ibind

Combine imputations fitted to the same data

bwplot.mids

Box-and-whisker plot of observed and imputed data

nhanes

NHANES example - all variables numerical

ici

Incomplete case indicator

long2mids

Conversion of a imputed data set (long form) to a mids object

getfit

Extracts fit objects from mira object

plot.mids

Plot the trace lines of the MICE algorithm

mdc

Graphical parameter for missing data plots.

mice.impute.norm.boot

Imputation by linear regression, bootstrap method

pool

Multiple Imputation Pooling

mice.impute.norm.predict

Imputation by linear regression, prediction method

pool.r.squared

Pooling: R squared

mice.impute.polyreg

Imputation by Polytomous Regression

mice.mids

Multivariate Imputation by Chained Equations (Iteration Step)

as.mira

Create a mira object from repeated analyses

mice.impute.ri

Imputation by the random indicator method for nonignorable data

nelsonaalen

Cumulative hazard rate or Nelson-Aalen estimator

mice.internal

Internal mice functions

mice.impute.polr

Imputation by polytomous regression - ordered

mids-class

Multiply imputed data set (mids)

mice.theme

Set the theme for the plotting Trellis functions

icn

Incomplete cases n

mice.impute.2l.norm

Imputation by a two-level normal model

mice.impute.logreg.boot

Imputation by logistic regression using the bootstrap

quickpred

Quick selection of predictors from the data

cci

Complete case indicator

mammalsleep

Mammal sleep data

walking

Walking disability data

leiden85

Leiden 85+ study

fluxplot

Fluxplot of the missing data pattern

appendbreak

Appends specified break to the data

windspeed

Subset of Irish wind speed data

squeeze

Squeeze the imputed values to be within specified boundaries.

mice.impute.2lonly.mean

Imputation of the mean within the class

pattern

Datasets with various missing data patterns

xyplot.mids

Scatterplot of observed and imputed data

mids2spss

Export mids object to SPSS

fdd

SE Fireworks disaster data

pool.compare

Compare two nested models fitted to imputed data

mice.impute.norm.nob

Imputation by linear regression (non Bayesian)

mice.impute.mean

Imputation by the Mean

fdgs

Fifth Dutch growth study 2009

mice.impute.quadratic

Imputation of quadratric terms

mice.impute.2lonly.norm

Imputation at level 2 by Bayesian linear regression

mipo

Multiply Imputed Pooled Analysis

cbind.mids

Columnwise combination of a mids object.

is.mipo

Check for mipo object

mids

Multiply Imputed Data Set

mice

Multivariate Imputation by Chained Equations (MICE)

extractBS

Extract broken stick estimates from a lmer object

mira-class

Multiply imputed repeated analyses (mira)

pops

Project on preterm and small for gestational age infants (POPS)

mice.impute.2lonly.pmm

Imputation at level 2 by predictive mean matching

potthoffroy

Potthoff-Roy data

version

Echoes the package version number

mice.impute.2l.pan

Imputation by a two-level normal model using pan

print.mids

Print a mids object

mipo-class

Multiply imputed pooled analysis (mipo)

pool.scalar

Multiple imputation pooling: univariate version

selfreport

Self-reported and measured BMI

stripplot.mids

Stripplot of observed and imputed data

rbind.mids

Rowwise combination of a mids object.

summary.mira

Summary of a mira object

tbc

Terneuzen birth cohort

supports.transparent

Supports semi-transparent foreground colors?

norm.draw

Draws values of beta and sigma by Bayesian linear regression