A General Multivariate Imputation Framework

Documentation for package ‘imputeR’ version 2.2

imputeR-package	imputeR-package description
CubistR	Cubist method for imputation
Detect	Detect variable type in a data matrix
gbmC	boosting tree for imputation
glmboostR	Boosting for regression
guess	Impute by (educated) guessing
impute	General Imputation Framework in R
lassoC	logistic regression with lasso for imputation
lassoR	LASSO for regression
major	Majority imputation for a vector
mixError	Calculate mixed error when the imputed matrix is mixed type
mixGuess	Naive imputation for mixed type data
mr	calculate miss-classification error
orderbox	Ordered boxplot for a data matrix
parkinson	Parkinsons Data Set
pcrR	Principle component regression for imputation
plotIm	Plot function for imputation
plsR	Partial Least Square regression for imputation
ridgeC	Ridge regression with lasso for imputation
ridgeR	Ridge shrinkage for regression
Rmse	calculate the RMSE or NRMSE
rpartC	classification tree for imputation
SimEval	Evaluate imputation performance by simulation
SimIm	Introduce some missing values into a data matrix
spect	SPECT Heart Data Set
stepBackC	Best subset for classification (backward)
stepBackR	Best subset (backward direction) for regression
stepBothC	Best subset for classification (both direction)
stepBothR	Best subset for regression (both direction)
stepForC	Best subset for classification (forward direction)
stepForR	Best subset (forward direction) for regression
tic	Insurance Company Benchmark (COIL 2000) Data Set