# Some Additional Multiple Imputation Functions, Especially for 'mice'

## Documentation for package ‘miceadds’ version 1.7-8

- DESCRIPTION file.
- Package NEWS.

## Help Pages

C D F G I J K L M N O P R S T V W misc

miceadds-package | Some Additional Multiple Imputation Functions, Especially for 'mice'

## -- C --

coef.glm.cluster | Cluster Robust Standard Errors for Linear Models and General Linear Models
coef.lm.cluster | Cluster Robust Standard Errors for Linear Models and General Linear Models
coef.mipo.nmi | Pooling for Nested Multiple Imputation
coef.pool_mi | Statistical Inference for Multiply Imputed Datasets
complete.mids.1chain | Creates Imputed Dataset from a 'mids.nmi' or 'mids.1chain' Object
complete.mids.nmi | Creates Imputed Dataset from a 'mids.nmi' or 'mids.1chain' Object
create.designMatrices.waldtest | Wald Test for Nested Multiply Imputed Datasets
crlrem | R Utilities: Removing CF Line Endings
cxxfunction.copy | R Utilities: Copy of an 'Rcpp' File

## -- D --

data.allison | Datasets from Allison's _Missing Data_ Book
data.allison.gssexp | Datasets from Allison's _Missing Data_ Book
data.allison.hip | Datasets from Allison's _Missing Data_ Book
data.allison.usnews | Datasets from Allison's _Missing Data_ Book
data.enders | Datasets from Enders' _Missing Data_ Book
data.enders.depression | Datasets from Enders' _Missing Data_ Book
data.enders.eatingattitudes | Datasets from Enders' _Missing Data_ Book
data.enders.employee | Datasets from Enders' _Missing Data_ Book
data.graham | Datasets from Grahams _Missing Data_ Book
data.graham.ex3 | Datasets from Grahams _Missing Data_ Book
data.graham.ex6 | Datasets from Grahams _Missing Data_ Book
data.graham.ex8a | Datasets from Grahams _Missing Data_ Book
data.graham.ex8b | Datasets from Grahams _Missing Data_ Book
data.graham.ex8c | Datasets from Grahams _Missing Data_ Book
data.internet | Dataset Internet
data.largescale | Large-scale Dataset for Testing Purposes (Many Cases, Few Variables)
data.ma | Example Datasets for 'miceadds' Package
data.ma01 | Example Datasets for 'miceadds' Package
data.ma02 | Example Datasets for 'miceadds' Package
data.ma03 | Example Datasets for 'miceadds' Package
data.ma04 | Example Datasets for 'miceadds' Package
data.ma05 | Example Datasets for 'miceadds' Package
data.ma06 | Example Datasets for 'miceadds' Package
data.smallscale | Small-Scale Dataset for Testing Purposes (Moderate Number of Cases, Many Variables)
datalist2mids | Converting a List of Multiply Imputed Data Sets into a 'mids' Object
datlist2mids | Converting a List of Multiply Imputed Data Sets into a 'mids' Object
datlist2nested.datlist | Creates Objects of Class 'datlist' or 'nested.datlist'
datlist_create | Creates Objects of Class 'datlist' or 'nested.datlist'
draw.pv.ctt | Plausible Value Imputation Using a Known Measurement Error Variance (Based on Classical Test Theory)

## -- F --

fast.groupmean | Calculation of Groupwise Descriptive Statistics for Matrices
fast.groupsum | Calculation of Groupwise Descriptive Statistics for Matrices

## -- G --

glm.cluster | Cluster Robust Standard Errors for Linear Models and General Linear Models
grep.vec | R Utilities: Vector Based Version of 'grep'

## -- I --

index.dataframe | R Utilities: Include an Index to a Data Frame

## -- J --

jomo2datlist | Converts a 'jomo' Data Frame in Long Format into a List of Datasets

## -- K --

kernelpls.fit2 | Kernel PLS Regression

## -- L --

library_install | R Utilities: Loading a Package or Installation of a Package if Necessary
List2nestedList | Converting a Nested List into a List (and Vice Versa)
lm.cluster | Cluster Robust Standard Errors for Linear Models and General Linear Models
load.data | R Utilities: Loading/Reading Data Files using 'miceadds'
load.Rdata | R Utilities: Loading 'Rdata' Files in a Convenient Way
load.Rdata2 | R Utilities: Loading 'Rdata' Files in a Convenient Way

## -- M --

ma.scale2 | Standardization of a Matrix
ma.wtd.corNA | Some Multivariate Descriptive Statistics for Weighted Data in 'miceadds'
ma.wtd.covNA | Some Multivariate Descriptive Statistics for Weighted Data in 'miceadds'
ma.wtd.meanNA | Some Multivariate Descriptive Statistics for Weighted Data in 'miceadds'
ma.wtd.sdNA | Some Multivariate Descriptive Statistics for Weighted Data in 'miceadds'
ma.wtd.statNA | Some Multivariate Descriptive Statistics for Weighted Data in 'miceadds'
mi.anova | Analysis of Variance for Multiply Imputed Data Sets (Using the D_2 Statistic)
mice.1chain | Multiple Imputation by Chained Equations using One Chain
mice.impute.2l.contextual.norm | Imputation by Normal Linear Regression with Contextual Variables
mice.impute.2l.contextual.pmm | Imputation by Predictive Mean Matching with Contextual Variables
mice.impute.2l.eap | Imputation of a Variable with a Known Posterior Distribution
mice.impute.2l.groupmean | Imputation of Latent and Manifest Group Means for Multilevel Data
mice.impute.2l.groupmean.elim | Imputation of Latent and Manifest Group Means for Multilevel Data
mice.impute.2l.latentgroupmean.MCMC | Imputation of Latent and Manifest Group Means for Multilevel Data
mice.impute.2l.latentgroupmean.ML | Imputation of Latent and Manifest Group Means for Multilevel Data
mice.impute.2l.plausible.values | Plausible Value Imputation using Classical Test Theory and Based on Individual Likelihood
mice.impute.2l.pls | Imputation using Partial Least Squares for Dimension Reduction
mice.impute.2l.pls2 | Imputation using Partial Least Squares for Dimension Reduction
mice.impute.2lonly.norm2 | Imputation at Level 2 (in 'miceadds')
mice.impute.2lonly.pmm2 | Imputation at Level 2 (in 'miceadds')
mice.impute.grouped | Imputation of a Variable with Grouped Values
mice.impute.pmm3 | Imputation by Predictive Mean Matching (in 'miceadds')
mice.impute.pmm4 | Imputation by Predictive Mean Matching (in 'miceadds')
mice.impute.pmm5 | Imputation by Predictive Mean Matching (in 'miceadds')
mice.impute.pmm6 | Imputation by Predictive Mean Matching (in 'miceadds')
mice.impute.tricube.pmm | Imputation by Tricube Predictive Mean Matching
mice.impute.tricube.pmm2 | Imputation by Tricube Predictive Mean Matching
mice.impute.weighted.norm | Imputation by a Weighted Linear Normal Regression
mice.impute.weighted.pmm | Imputation by Weighted Predictive Mean Matching
mice.nmi | Nested Multiple Imputation
miceadds | Some Additional Multiple Imputation Functions, Especially for 'mice'
micombine.chisquare | Combination of Chi Square Statistics of Multiply Imputed Datasets
micombine.cor | Combination of Correlations for Multiply Imputed Data Sets
micombine.F | Combination of F Statistics for Multiply Imputed Datasets Using a Chi Square Approximation
MIcombine.NestedImputationResultList | Functions for Analysis of Nested Multiply Imputed Datasets
mids2datlist | Converting a 'mids', 'mids.1chain' or 'mids.nmi' Object in a Dataset List
mids2mlwin | Export 'mids' object to MLwiN
MIwaldtest | Wald Test for Nested Multiply Imputed Datasets
mi_dstat | Cohen's d Effect Size for Missingness Indicators

## -- N --

nested.datlist2datlist | Creates Objects of Class 'datlist' or 'nested.datlist'
nested.datlist_create | Creates Objects of Class 'datlist' or 'nested.datlist'
NestedImputationList | Functions for Analysis of Nested Multiply Imputed Datasets
nestedList2List | Converting a Nested List into a List (and Vice Versa)
NMIcombine | Pooling for Nested Multiple Imputation
NMIextract | Pooling for Nested Multiple Imputation
NMIwaldtest | Wald Test for Nested Multiply Imputed Datasets

## -- O --

output.format1 | R Utilities: Formatting R Output on the R Console

## -- P --

pca.covridge | Principal Component Analysis with Ridge Regularization
plot.mids.1chain | Multiple Imputation by Chained Equations using One Chain
pool.mids.nmi | Pooling for Nested Multiple Imputation
pool_mi | Statistical Inference for Multiply Imputed Datasets
pool_nmi | Pooling for Nested Multiple Imputation
predict.kernelpls.fit2 | Kernel PLS Regression
print.datlist | Creates Objects of Class 'datlist' or 'nested.datlist'
print.mids.1chain | Multiple Imputation by Chained Equations using One Chain
print.mids.nmi | Nested Multiple Imputation
print.nested.datlist | Creates Objects of Class 'datlist' or 'nested.datlist'
print.NestedImputationList | Functions for Analysis of Nested Multiply Imputed Datasets

## -- R --

read.fwf2 | Reading and Writing Files in Fixed Width Format
Reval | R Utilities: Evaluates a String as an Expression in R
Revalpr | R Utilities: Evaluates a String as an Expression in R
Revalprstr | R Utilities: Evaluates a String as an Expression in R
Rhat.mice | Rhat Convergence Statistic of a 'mice' Imputation
round2 | R Utilities: Rounding DIN 1333 (Kaufmaennisches Runden)
Rsessinfo | R Utilities: R Session Information

## -- S --

save.data | R Utilities: Saving/Writing Data Files using 'miceadds'
save.Rdata | R Utilities: Save a Data Frame in 'Rdata' Format
scale_datlist | Adding a Standardized Variable to a List of Multiply Imputed Datasets or a Single Datasets
scan.vec | R Utilities: Scan a Character Vector
scan.vector | R Utilities: Scan a Character Vector
scan0 | R Utilities: Scan a Character Vector
source.all | R Utilities: Source All R Files Within a Directory
str_C.expand.grid | R Utilities: String Paste Combined with 'expand.grid'
subset.datlist | Subsetting Multiply Imputed Datasets and Nested Multiply Imputed Datasets
subset.imputationList | Subsetting Multiply Imputed Datasets and Nested Multiply Imputed Datasets
subset.mids | Subsetting Multiply Imputed Datasets and Nested Multiply Imputed Datasets
subset.mids.1chain | Subsetting Multiply Imputed Datasets and Nested Multiply Imputed Datasets
subset.nested.datlist | Subsetting Multiply Imputed Datasets and Nested Multiply Imputed Datasets
subset.NestedImputationList | Subsetting Multiply Imputed Datasets and Nested Multiply Imputed Datasets
subset_datlist | Subsetting Multiply Imputed Datasets and Nested Multiply Imputed Datasets
subset_nested.datlist | Subsetting Multiply Imputed Datasets and Nested Multiply Imputed Datasets
summary.glm.cluster | Cluster Robust Standard Errors for Linear Models and General Linear Models
summary.lm.cluster | Cluster Robust Standard Errors for Linear Models and General Linear Models
summary.mids.1chain | Multiple Imputation by Chained Equations using One Chain
summary.mids.nmi | Nested Multiple Imputation
summary.mipo.nmi | Pooling for Nested Multiple Imputation
summary.mira.nmi | Evaluates an Expression for (Nested) Multiply Imputed Datasets
summary.MIwaldtest | Wald Test for Nested Multiply Imputed Datasets
summary.NMIwaldtest | Wald Test for Nested Multiply Imputed Datasets
summary.pool_mi | Statistical Inference for Multiply Imputed Datasets
sumpreserving.rounding | Sum Preserving Rounding
systime | R Utilities: Various Strings Representing System Time

## -- T --

tw.imputation | Two-Way Imputation
tw.mcmc.imputation | Two-Way Imputation

## -- V --

VariableNames2String | Stringing Variable Names with Line Breaks
vcov.glm.cluster | Cluster Robust Standard Errors for Linear Models and General Linear Models
vcov.lm.cluster | Cluster Robust Standard Errors for Linear Models and General Linear Models
vcov.mipo.nmi | Pooling for Nested Multiple Imputation
vcov.pool_mi | Statistical Inference for Multiply Imputed Datasets
visitSequence.determine | Automatic Determination of a Visit Sequence in 'mice'

## -- W --

with.datlist | Evaluates an Expression for (Nested) Multiply Imputed Datasets
with.mids.1chain | Evaluates an Expression for (Nested) Multiply Imputed Datasets
with.mids.nmi | Evaluates an Expression for (Nested) Multiply Imputed Datasets
with.nested.datlist | Evaluates an Expression for (Nested) Multiply Imputed Datasets
with.NestedImputationList | Evaluates an Expression for (Nested) Multiply Imputed Datasets
within.datlist | Evaluates an Expression for (Nested) Multiply Imputed Datasets
within.imputationList | Evaluates an Expression for (Nested) Multiply Imputed Datasets
within.nested.datlist | Evaluates an Expression for (Nested) Multiply Imputed Datasets
within.NestedImputationList | Evaluates an Expression for (Nested) Multiply Imputed Datasets
withPool_MI | Evaluates an Expression for (Nested) Multiply Imputed Datasets
withPool_NMI | Evaluates an Expression for (Nested) Multiply Imputed Datasets
write.datlist | Write a List of Multiply Imputed Datasets
write.fwf2 | Reading and Writing Files in Fixed Width Format
write.mice.imputation | Export Multiply Imputed Datasets from a 'mids' Object
write.pspp | Writing a Data Frame into SPSS Format Using PSPP Software

## -- misc --

2lonly.norm2 | Imputation at Level 2 (in 'miceadds')
2lonly.pmm2 | Imputation at Level 2 (in 'miceadds')