Rmse: calculate the RMSE or NRMSE
In imputeR: A General Multivariate Imputation Framework

Description Usage Arguments Value See Also Examples

This function calculate imputation error given the imputed data, the missing data and the true data

1	Rmse(imp, mis, true, norm = FALSE)

`imp`	the imputaed data matrix
`mis`	the missing data matrix
`true`	the true data matrix
`norm`	logical, if TRUE then the normalized RMSE will be returned

the RMSE or NRMSE

impute for the main imputation function, mr for the misclassification error metric.

data(parkinson)
# introduce 10% random missing values into the parkinson data
missdata <- SimIm(parkinson, 0.1)

# impute the missing values by LASSO
impdata <- impute(missdata, lmFun = "lassoR")

# calculate the normalised RMSE for the imputation
Rmse(impdata$imp, missdata, parkinson, norm = TRUE)