Man pages for stefvanbuuren/mice
Multivariate Imputation by Chained Equations

amputeGenerate Missing Data for Simulation Purposes
ampute.continuousMultivariate Amputation Based On Continuous Probability...
ampute.default.freqDefault 'freq' in 'ampute'
ampute.default.oddsDefault 'odds' in 'ampute()'
ampute.default.patternsDefault 'patterns' in 'ampute'
ampute.default.typeDefault 'type' in 'ampute()'
ampute.default.weightsDefault 'weights' in 'ampute'
ampute.discreteMultivariate Amputation Based On Discrete Probability...
ampute.mcarMultivariate Amputation In A MCAR Manner
appendbreakAppends specified break to the data
as.midsConverts an multiply imputed dataset (long format) into a...
as.miraCreate a 'mira' object from repeated analyses
boysGrowth of Dutch boys
bwplot.madsBox-and-whisker plot of amputed and non-amputed data
bwplot.midsBox-and-whisker plot of observed and imputed data
cbind.midsColumnwise combination of a 'mids' object.
ccSelect complete cases
cciComplete case indicator
completeExtracts imputed data sets from a 'mids' object
densityplot.midsDensity plot of observed and imputed data
extractBSExtract broken stick estimates from a 'lmer' object
fddSE Fireworks disaster data
fdgsFifth Dutch growth study 2009
ficoFraction of incomplete cases among cases with observed
fluxInflux and outflux of multivariate missing data patterns
fluxplotFluxplot of the missing data pattern
getfitExtracts fit objects from 'mira' object
glm.midsGeneralized linear model for 'mids' object
ibindEnlarge number of imputations by combining 'mids' objects
icSelect incomplete cases
iciIncomplete case indicator
ifdoConditional imputation helper
is.madsCheck for 'mads' object
is.midsCheck for 'mids' object
is.mipoCheck for 'mipo' object
is.miraCheck for 'mira' object
leiden85Leiden 85+ study
lm.midsLinear regression for 'mids' object
mads-classMultivariate Amputed Data Set ('mads')
mammalsleepMammal sleep data
mdcGraphical parameter for missing data plots.
md.pairsMissing data pattern by variable pairs
md.patternMissing data pattern
mice'mice': Multivariate Imputation by Chained Equations
mice.impute.2l.lmerImputation by a two-level normal model using 'lmer'
mice.impute.2l.normImputation by a two-level normal model
mice.impute.2lonly.meanImputation of the mean within the class
mice.impute.2lonly.normImputation at level 2 by Bayesian linear regression
mice.impute.2lonly.pmmImputation at level 2 by predictive mean matching
mice.impute.2l.panImputation by a two-level normal model using 'pan'
mice.impute.cartImputation by classification and regression trees
mice.impute.ldaImputation by linear discriminant analysis
mice.impute.logregImputation by logistic regression
mice.impute.logreg.bootImputation by logistic regression using the bootstrap
mice.impute.meanImputation by the mean
mice.impute.midastouchImputation by predictive mean matching with distance aided...
mice.impute.normImputation by Bayesian linear regression
mice.impute.norm.bootImputation by linear regression, bootstrap method
mice.impute.norm.nobImputation by linear regression without parameter uncertainty
mice.impute.norm.predictImputation by linear regression through prediction
mice.impute.passivePassive imputation
mice.impute.pmmImputation by predictive mean matching
mice.impute.polrImputation of ordered data by polytomous regression
mice.impute.polyregImputation of unordered data by polytomous regression
mice.impute.quadraticImputation of quadratric terms
mice.impute.rfImputation by random forests
mice.impute.riImputation by the random indicator method for nonignorable...
mice.impute.sampleImputation by simple random sampling
mice.midsMultivariate Imputation by Chained Equations (Iteration Step)
mice.themeSet the theme for the plotting Trellis functions
mids2mplusExport 'mids' object to Mplus
mids2spssExport 'mids' object to SPSS
mids-classMultiply imputed data set ('mids')
mipo-classMultiply imputed pooled analysis ('mipo')
mira-classMultiply imputed repeated analyses ('mira')
nccNumber of complete cases
nelsonaalenCumulative hazard rate or Nelson-Aalen estimator
nhanesNHANES example - all variables numerical
nhanes2NHANES example - mixed numerical and discrete variables
nicNumber of incomplete cases
norm.drawDraws values of beta and sigma by Bayesian linear regression
patternDatasets with various missing data patterns
plot.midsPlot the trace lines of the MICE algorithm
pmm.matchFinds an imputed value from matches in the predictive metric...
poolMultiple imputation pooling
pool.compareCompare two nested models fitted to imputed data
pool.r.squaredPooling: R squared
pool.scalarMultiple imputation pooling: univariate version
popmisHox pupil popularity data with missing popularity scores
popsProject on preterm and small for gestational age infants...
potthoffroyPotthoff-Roy data
printPrint a 'mids' object
print.madsPrint a 'mads' object
quickpredQuick selection of predictors from the data
rbind.midsRowwise combination of a 'mids' object.
selfreportSelf-reported and measured BMI
squeezeSqueeze the imputed values to be within specified boundaries.
stripplot.midsStripplot of observed and imputed data
summarySummary of a 'mira' object
supports.transparentSupports semi-transparent foreground colors?
tbcTerneuzen birth cohort
versionEchoes the package version number
walkingWalking disability data
windspeedSubset of Irish wind speed data
with.midsEvaluate an expression in multiple imputed datasets
xyplot.madsScatterplot of amputed and non-amputed data against weighted...
xyplot.midsScatterplot of observed and imputed data
stefvanbuuren/mice documentation built on Nov. 19, 2017, 6:59 a.m.