Some Additional Multiple Imputation Functions, Especially for 'mice'

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... |

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 |

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.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_2l_lmer | Imputation of a Continuous or a Binary Variable From a... |

mice.impute.2lonly.function | Imputation at Level 2 (in 'miceadds') |

mice.impute.bygroup | Groupwise Imputation Function |

mice.impute.eap | Imputation of a Variable with a Known Posterior Distribution |

mice.impute.grouped | Imputation of a Variable with Grouped Values |

mice.impute.hotDeck | Imputation of a Variable Using Probabilistic Hot Deck... |

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.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 |

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 |

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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