miceadds3.18-36 package

Imputation Using a Fixed Vector

Wrapper Function to Imputation Methods in the simputation Package

Substantive Model Compatible Multiple Imputation (Single Level)

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

Wald Test for Nested Multiply Imputed Datasets

Simulation of Multivariate Linearly Related Non-Normal Variables

Utilities: Formatting R Output on the Console

Descriptive Statistics for a Vector or a Data Frame

Utilities: String Paste Combined with expand.grid

Subsetting Multiply Imputed Datasets and Nested Multiply Imputed Datas...

Moves Files from One Directory to Another Directory

Simulating Univariate Data from Fleishman Power Normal Transformations

Simulating Normally Distributed Data

Standardization of a Matrix

Some Multivariate Descriptive Statistics for Weighted Data in `miceadd...

Cohen's d Effect Size for Missingness Indicators

Imputation of a Categorical Variable Using Multivariate Predictive Mea...

Using a mice Imputation Method in the synthpop Package

Utilities: Various Strings Representing System Time

Export Multiply Imputed Datasets from a mids Object

Plausible Value Imputation Using a Known Measurement Error Variance (B...

Some Functionality for Strings and File Names

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

Utilities: Removing CF Line Endings

Utilities: Copy of an Rcpp File

Datasets from Allison's Missing Data Book

Datasets from Enders' Missing Data Book

Datasets from Grahams Missing Data Book

Example Datasets for miceadds Package

Converting a List of Multiply Imputed Data Sets into a mids Object

Creates Objects of Class datlist or nested.datlist

Converting an Object of class amelia

Utilities: Vector Based Versions of grep

Calculation of Groupwise Descriptive Statistics for Matrices

Indicator Function for Analyzing Coverage

Utilities: Include an Index to a Data Frame

Converts a jomo Data Frame in Long Format into a List of Datasets or...

Utility Functions for Working with lme4 Formula Objects

Kernel PLS Regression

Utilities: Loading a Package or Installation of a Package if Necessary

Cluster Robust Standard Errors for Linear Models and General Linear Mo...

Statistical Inference for Fixed and Random Structure for Fitted Models...

Utilities: Loading/Reading Data Files using miceadds

Utilities: Loading Rdata Files in a Convenient Way

Analysis of Variance for Multiply Imputed Data Sets (Using the $D_2$ S...

Imputation of a Continuous or a Binary Variable From a Two-Level Regre...

Arguments for mice::mice Function

Multiple Imputation by Chained Equations using One Chain

Imputation by Predictive Mean Matching or Normal Linear Regression wit...

Imputation of Latent and Manifest Group Means for Multilevel Data

Imputation at Level 2 (in miceadds)

Groupwise Imputation Function

Utility Functions in miceadds

Imputation of a Variable Using Probabilistic Hot Deck Imputation

Wrapper Function to Imputation Methods in the imputeR Package

Multilevel Imputation Using lme4

Plausible Value Imputation using Classical Test Theory and Based on In...

Imputation using Partial Least Squares for Dimension Reduction

Imputation by Predictive Mean Matching (in miceadds)

Imputation of a Linear Model by Bayesian Bootstrap

Using a synthpop Synthesizing Method in the mice Package

Imputation by Tricube Predictive Mean Matching

Imputation by Weighted Predictive Mean Matching or Weighted Normal Lin...

Nested Multiple Imputation

Defunct miceadds Functions

tools:::Rd_package_title("miceadds")

Combination of Chi Square Statistics of Multiply Imputed Datasets

Inference for Correlations and Covariances for Multiply Imputed Datase...

Combination of F Statistics for Multiply Imputed Datasets Using a Chi ...

Converting a mids, mids.1chain or mids.nmiObject in a Dataset Li...

Export mids object to MLwiN

MCMC Estimation for Mixed Effects Model

Functions for Analysis of Nested Multiply Imputed Datasets

Principal Component Analysis with Ridge Regularization

Statistical Inference for Multiply Imputed Datasets

Pooling for Nested Multiple Imputation

Utilities: Evaluates a String as an Expression in

Utility Functions for Writing Functions

Rhat Convergence Statistic of a mice Imputation

Utilities: Rounding DIN 1333 (Kaufmaennisches Runden)

Utilities: Session Information

Utilities: Saving/Writing Data Files using miceadds

Utilities: Save a Data Frame in Rdata Format

Adding a Standardized Variable to a List of Multiply Imputed Datasets ...

Utilities: Scan a Character Vector

Utilities: Source all R or Rcpp Files within a Directory

Sum Preserving Rounding

Generation of Synthetic Data Utilizing Data Augmentation

Constructs Synthetic Dataset with mice Imputation Methods

Synthesizing Method for Fixed Values by Design in synthpop

Synthesizing Method for synthpop Using a Formula Interface

Two-Way Imputation

Stringing Variable Names with Line Breaks

Automatic Determination of a Visit Sequence in mice

Evaluates an Expression for (Nested) Multiply Imputed Datasets

Write a List of Multiply Imputed Datasets

Reading and Writing Files in Fixed Width Format

Writing a Data Frame into SPSS Format Using PSPP Software