Fast Imputations Using 'Rcpp' and 'Armadillo'
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Documentation for package ‘miceFast’ version 0.8.2
Help Pages
| miceFast-package | miceFast package for fast multiple imputations. |
| air_miss | airquality dataset with additional variables |
| compare_imp | Comparing imputations and original data distributions |
| corrData | Class '"Rcpp_corrData"' |
| fill_NA | 'fill_NA' function for the imputations purpose. |
| fill_NA.data.frame | 'fill_NA' function for the imputations purpose. |
| fill_NA.data.table | 'fill_NA' function for the imputations purpose. |
| fill_NA.matrix | 'fill_NA' function for the imputations purpose. |
| fill_NA_N | 'fill_NA_N' function for the multiple imputations purpose |
| fill_NA_N.data.frame | 'fill_NA_N' function for the multiple imputations purpose |
| fill_NA_N.data.table | 'fill_NA_N' function for the multiple imputations purpose |
| fill_NA_N.matrix | 'fill_NA_N' function for the multiple imputations purpose |
| miceFast | Class '"Rcpp_miceFast"' |
| naive_fill_NA | 'naive_fill_NA' function for the simple and automatic imputation |
| naive_fill_NA.data.frame | 'naive_fill_NA' function for the simple and automatic imputation |
| naive_fill_NA.data.table | 'naive_fill_NA' function for the simple and automatic imputation |
| naive_fill_NA.matrix | 'naive_fill_NA' function for the simple and automatic imputation |
| neibo | Finding in random manner one of the k closets points in a certain vector for each value in a second vector |
| Rcpp_corrData-class | Class '"Rcpp_corrData"' |
| Rcpp_miceFast-class | Class '"Rcpp_miceFast"' |
| upset_NA | upset plot for NA values |
| VIF | 'VIF' function for assessing VIF. |
| VIF.data.frame | 'VIF' function for assessing VIF. |
| VIF.data.table | 'VIF' function for assessing VIF. |
| VIF.matrix | 'VIF' function for assessing VIF. |