Detect | Detect variable type in a data matrix |
gbmC | boosting tree for imputation |
glmboostR | Boosting for regression |
guess | Impute by (educated) guessing |
hello | Hello, World! |
impute | Estrucutra de programación |
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 |
rdaC | regularised LDA method for imputation |
Rmse | calcula el RMSE o NRMSE |
rpartC | classification tree for imputation |
SimEval | Evaluate imputation performance by simulation |
SimIm | Introducir de una manera aleatoria valores missings |
spect | SPECT Heart Data Set |
tic | Insurance Company Benchmark (COIL 2000) Data Set |
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