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miceadds

Some Additional Multiple Imputation Functions, Especially for 'mice'

If you use miceadds and have suggestions for improvement or have found bugs, please email me at robitzsch@ipn.uni-kiel.de.

CRAN version

The official version of miceadds is hosted on CRAN and may be found here. The CRAN version can be installed from within R using:

utils::install.packages("miceadds")

GitHub version

The version hosted here is the development version of miceadds. The GitHub version can be installed using devtools as:

devtools::install_github("alexanderrobitzsch/miceadds")

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Version

Install

install.packages('miceadds')

Monthly Downloads

4,779

Version

3.2-48

License

GPL (>= 2)

Issues

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Maintainer

Alexander Robitzsch

Last Published

April 15th, 2019

Functions in miceadds (3.2-48)

complete.miceadds

Creates Imputed Dataset from a mids.nmi or mids.1chain Object
crlrem

R Utilities: Removing CF Line Endings
Rsessinfo

R Utilities: R Session Information
VariableNames2String

Stringing Variable Names with Line Breaks
files_move

Moves Files from One Directory to Another Directory
fleishman_sim

Simulating Univariate Data from Fleishman Power Normal Transformations
ma_lme4_formula

Utility Functions for Working with lme4 Formula Objects
ma_rmvnorm

Simulating Normally Distributed Data
data.internet

Dataset Internet
data.largescale

Large-scale Dataset for Testing Purposes (Many Cases, Few Variables)
ma.scale2

Standardization of a Matrix
mice.impute.bygroup

Groupwise Imputation Function
mice.impute.grouped

Imputation of a Variable with Grouped Values
mice.nmi

Nested Multiple Imputation
ma.wtd.statNA

Some Multivariate Descriptive Statistics for Weighted Data in miceadds
mice.1chain

Multiple Imputation by Chained Equations using One Chain
NestedImputationList

Functions for Analysis of Nested Multiply Imputed Datasets
Reval

R Utilities: Evaluates a String as an Expression in R
mice_imputation_2l_lmer

Imputation of a Continuous or a Binary Variable From a Two-Level Regression Model using lme4 or blme
save.data

R Utilities: Saving/Writing Data Files using miceadds
mice.impute.2l.contextual.pmm

Imputation by Predictive Mean Matching or Normal Linear Regression with Contextual Variables
data.ma

Example Datasets for miceadds Package
mice.impute.pmm3

Imputation by Predictive Mean Matching (in miceadds)
subset_datlist

Subsetting Multiply Imputed Datasets and Nested Multiply Imputed Datasets
scale_datlist

Adding a Standardized Variable to a List of Multiply Imputed Datasets or a Single Datasets
sumpreserving.rounding

Sum Preserving Rounding
mice.impute.smcfcs

Substantive Model Compatible Multiple Imputation (Single Level)
data.smallscale

Small-Scale Dataset for Testing Purposes (Moderate Number of Cases, Many Variables)
kernelpls.fit2

Kernel PLS Regression
GroupMean

Calculation of Groupwise Descriptive Statistics for Matrices
library_install

R Utilities: Loading a Package or Installation of a Package if Necessary
mi.anova

Analysis of Variance for Multiply Imputed Data Sets (Using the \(D_2\) Statistic)
mi_dstat

Cohen's d Effect Size for Missingness Indicators
stats0

Descriptive Statistics for a Vector or a Data Frame
str_C.expand.grid

R Utilities: String Paste Combined with expand.grid
ml_mcmc

MCMC Estimation for Mixed Effects Model
mids2mlwin

Export mids object to MLwiN
mice.impute.plausible.values

Plausible Value Imputation using Classical Test Theory and Based on Individual Likelihood
NMIwaldtest

Wald Test for Nested Multiply Imputed Datasets
cxxfunction.copy

R Utilities: Copy of an Rcpp File
Rfunction_include_argument_values

Utility Functions for Writing R Functions
data.allison

Datasets from Allison's Missing Data Book
mice.impute.pls

Imputation using Partial Least Squares for Dimension Reduction
grep.vec

R Utilities: Vector Based Versions of grep
Rhat.mice

Rhat Convergence Statistic of a mice Imputation
write.datlist

Write a List of Multiply Imputed Datasets
in_CI

Indicator Function for Analyzing Coverage
write.fwf2

Reading and Writing Files in Fixed Width Format
mice.impute.2l.latentgroupmean.ml

Imputation of Latent and Manifest Group Means for Multilevel Data
mice.impute.2lonly.function

Imputation at Level 2 (in miceadds)
data.enders

Datasets from Enders' Missing Data Book
datlist2mids

Converting a List of Multiply Imputed Data Sets into a mids Object
mice.impute.tricube.pmm

Imputation by Tricube Predictive Mean Matching
micombine.F

Combination of F Statistics for Multiply Imputed Datasets Using a Chi Square Approximation
micombine.chisquare

Combination of Chi Square Statistics of Multiply Imputed Datasets
data.graham

Datasets from Grahams Missing Data Book
mice.impute.weighted.pmm

Imputation by Weighted Predictive Mean Matching or Weighted Normal Linear Regression
datlist_create

Creates Objects of Class datlist or nested.datlist
round2

R Utilities: Rounding DIN 1333 (Kaufmaennisches Runden)
save.Rdata

R Utilities: Save a Data Frame in Rdata Format
write.mice.imputation

Export Multiply Imputed Datasets from a mids Object
write.pspp

Writing a Data Frame into SPSS Format Using PSPP Software
index.dataframe

R Utilities: Include an Index to a Data Frame
filename_split

Some Functionality for Strings and File Names
lm.cluster

Cluster Robust Standard Errors for Linear Models and General Linear Models
draw.pv.ctt

Plausible Value Imputation Using a Known Measurement Error Variance (Based on Classical Test Theory)
output.format1

R Utilities: Formatting R Output on the R Console
jomo2datlist

Converts a jomo Data Frame in Long Format into a List of Datasets or an Object of Class mids
pca.covridge

Principal Component Analysis with Ridge Regularization
visitSequence.determine

Automatic Determination of a Visit Sequence in mice
load.Rdata

R Utilities: Loading Rdata Files in a Convenient Way
with.miceadds

Evaluates an Expression for (Nested) Multiply Imputed Datasets
load.data

R Utilities: Loading/Reading Data Files using miceadds
lmer_vcov

Statistical Inference for Fixed and Random Structure for Fitted Models in lme4
mice.impute.hotDeck

Imputation of a Variable Using Probabilistic Hot Deck Imputation
mice_inits

Arguments for mice::mice Function
mids2datlist

Converting a mids, mids.1chain or mids.nmi Object in a Dataset List
micombine.cor

Inference for Correlations and Covariances for Multiply Imputed Datasets
miceadds-defunct

Defunct miceadds Functions
scan.vec

R Utilities: Scan a Character Vector
source.all

R Utilities: Source all R or Rcpp Files within a Directory
mice.impute.ml.lmer

Multilevel Imputation Using lme4
miceadds-utilities

Utility Functions in miceadds
miceadds-package

miceadds
nestedList2List

Converting a Nested List into a List (and Vice Versa)
nnig_sim

Simulation of Multivariate Linearly Related Non-Normal Variables
pool_mi

Statistical Inference for Multiply Imputed Datasets
pool.mids.nmi

Pooling for Nested Multiple Imputation
systime

R Utilities: Various Strings Representing System Time
tw.imputation

Two-Way Imputation