Man pages for imputeR
A General Multivariate Imputation Framework
| 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 |
| imputeR-package | imputeR-package description |
| 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 |
