complete.miceadds | Creates Imputed Dataset from a 'mids.nmi' or 'mids.1chain'... |
crlrem | R Utilities: Removing CF Line Endings |
cxxfunction.copy | R Utilities: Copy of an 'Rcpp' File |
data.allison | Datasets from Allison's _Missing Data_ Book |
data.enders | Datasets from Enders' _Missing Data_ Book |
data.graham | Datasets from Grahams _Missing Data_ Book |
data.internet | Dataset Internet |
data.largescale | Large-scale Dataset for Testing Purposes (Many Cases, Few... |
datalist2mids | Converting a List of Multiply Imputed Data Sets into a 'mids'... |
data.ma | Example Datasets for 'miceadds' Package |
data.smallscale | Small-Scale Dataset for Testing Purposes (Moderate Number of... |
datlist2Amelia | Converting an Object of class 'amelia' |
datlist_create | Creates Objects of Class 'datlist' or 'nested.datlist' |
draw.pv.ctt | Plausible Value Imputation Using a Known Measurement Error... |
filename_split | Some Functionality for Strings and File Names |
files_move | Moves Files from One Directory to Another Directory |
fleishman_sim | Simulating Univariate Data from Fleishman Power Normal... |
grep.vec | R Utilities: Vector Based Versions of 'grep' |
GroupMean | Calculation of Groupwise Descriptive Statistics for Matrices |
in_CI | Indicator Function for Analyzing Coverage |
index.dataframe | R Utilities: Include an Index to a Data Frame |
jomo2datlist | Converts a 'jomo' Data Frame in Long Format into a List of... |
kernelpls.fit2 | Kernel PLS Regression |
library_install | R Utilities: Loading a Package or Installation of a Package... |
lm.cluster | Cluster Robust Standard Errors for Linear Models and General... |
lmer_vcov | Statistical Inference for Fixed and Random Structure for... |
load.data | R Utilities: Loading/Reading Data Files using 'miceadds' |
load.Rdata | R Utilities: Loading 'Rdata' Files in a Convenient Way |
ma_lme4_formula_terms | Utility Functions for Working with 'lme4' Formula Objects |
ma_rmvnorm | Simulating Normally Distributed Data |
ma.scale2 | Standardization of a Matrix |
ma.wtd.statNA | Some Multivariate Descriptive Statistics for Weighted Data in... |
mi.anova | Analysis of Variance for Multiply Imputed Data Sets (Using... |
mice.1chain | Multiple Imputation by Chained Equations using One Chain |
miceadds-defunct | Defunct 'miceadds' Functions |
miceadds-package | Some Additional Multiple Imputation Functions, Especially for... |
miceadds-utilities | Utility Functions in 'miceadds' |
mice_imputation_2l_lmer | Imputation of a Continuous or a Binary Variable From a... |
mice.impute.2l.contextual.pmm | Imputation by Predictive Mean Matching or Normal Linear... |
mice.impute.2l.latentgroupmean.ml | Imputation of Latent and Manifest Group Means for Multilevel... |
mice.impute.2lonly.function | Imputation at Level 2 (in 'miceadds') |
mice.impute.bygroup | Groupwise Imputation Function |
mice.impute.catpmm | Imputation of a Categorical Variable Using Multivariate... |
mice.impute.constant | Imputation Using a Fixed Vector |
mice.impute.hotDeck | Imputation of a Variable Using Probabilistic Hot Deck... |
mice.impute.imputeR.lmFun | Wrapper Function to Imputation Methods in the 'imputeR'... |
mice.impute.ml.lmer | Multilevel Imputation Using 'lme4' |
mice.impute.plausible.values | Plausible Value Imputation using Classical Test Theory and... |
mice.impute.pls | Imputation using Partial Least Squares for Dimension... |
mice.impute.pmm3 | Imputation by Predictive Mean Matching (in 'miceadds') |
mice.impute.rlm | Imputation of a Linear Model by Bayesian Bootstrap |
mice.impute.simputation | Wrapper Function to Imputation Methods in the 'simputation'... |
mice.impute.smcfcs | Substantive Model Compatible Multiple Imputation (Single... |
mice.impute.synthpop | Using a 'synthpop' Synthesizing Method in the 'mice' Package |
mice.impute.tricube.pmm | Imputation by Tricube Predictive Mean Matching |
mice.impute.weighted.pmm | Imputation by Weighted Predictive Mean Matching or Weighted... |
mice_inits | Arguments for 'mice::mice' Function |
mice.nmi | Nested Multiple Imputation |
micombine.chisquare | Combination of Chi Square Statistics of Multiply Imputed... |
micombine.cor | Inference for Correlations and Covariances for Multiply... |
micombine.F | Combination of F Statistics for Multiply Imputed Datasets... |
mids2datlist | Converting a 'mids', 'mids.1chain' or 'mids.nmi' Object in a... |
mids2mlwin | Export 'mids' object to MLwiN |
mi_dstat | Cohen's d Effect Size for Missingness Indicators |
ml_mcmc | MCMC Estimation for Mixed Effects Model |
NestedImputationList | Functions for Analysis of Nested Multiply Imputed Datasets |
nestedList2List | Converting a Nested List into a List (and Vice Versa) |
NMIwaldtest | Wald Test for Nested Multiply Imputed Datasets |
nnig_sim | Simulation of Multivariate Linearly Related Non-Normal... |
output.format1 | R Utilities: Formatting R Output on the R Console |
pca.covridge | Principal Component Analysis with Ridge Regularization |
pool_mi | Statistical Inference for Multiply Imputed Datasets |
pool.mids.nmi | Pooling for Nested Multiple Imputation |
Reval | R Utilities: Evaluates a String as an Expression in R |
Rfunction_include_argument_values | Utility Functions for Writing R Functions |
Rhat.mice | Rhat Convergence Statistic of a 'mice' Imputation |
round2 | R Utilities: Rounding DIN 1333 (Kaufmaennisches Runden) |
Rsessinfo | R Utilities: R Session Information |
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... |
scan.vector | R Utilities: Scan a Character Vector |
source.all | R Utilities: Source all R or 'Rcpp' Files within a Directory |
stats0 | Descriptive Statistics for a Vector or a Data Frame |
str_C.expand.grid | R Utilities: String Paste Combined with 'expand.grid' |
subset_datlist | Subsetting Multiply Imputed Datasets and Nested Multiply... |
sumpreserving.rounding | Sum Preserving Rounding |
syn.constant | Synthesizing Method for Fixed Values by Design in 'synthpop' |
syn_da | Generation of Synthetic Data Utilizing Data Augmentation |
syn.formula | Synthesizing Method for 'synthpop' Using a Formula Interface |
syn_mice | Constructs Synthetic Dataset with 'mice' Imputation Methods |
syn.mice | Using a 'mice' Imputation Method in the 'synthpop' Package |
systime | R Utilities: Various Strings Representing System Time |
tw.imputation | Two-Way Imputation |
VariableNames2String | Stringing Variable Names with Line Breaks |
visitSequence.determine | Automatic Determination of a Visit Sequence in 'mice' |
with.miceadds | Evaluates an Expression for (Nested) Multiply Imputed... |
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 |
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