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. |