Man pages for RfEmpImp
Multiple Imputation using Chained Random Forests
| conv.factor | Convert variables to factors |
| gen.mcar | Generate missing (completely at random) cells in a data set |
| imp.rfemp | Perform multiple imputation using the empirical error... |
| imp.rfnode.cond | Perform multiple imputation based on the conditional... |
| imp.rfnode.prox | Perform multiple imputation based on the conditional... |
| mice.impute.rfemp | Univariate sampler function for mixed types of variables for... |
| mice.impute.rfnode | Univariate sampler function for mixed types of variables for... |
| mice.impute.rfpred.cate | Univariate sampler function for categorical variables for... |
| mice.impute.rfpred.emp | Univariate sampler function for continuous variables using... |
| mice.impute.rfpred.norm | Univariate sampler function for continuous variables for... |
| query.rf.pred.idx | Identify corresponding observations indexes under the... |
| query.rf.pred.val | Identify corresponding observed values for the response... |
| rangerCallerSafe | Remove unnecessary arguments for 'ranger' function |
| reg.ests | Get regression estimates for pooled object |
| RfEmpImp-package | RfEmpImp: Multiple Imputation using Chained Random Forests |
