Calculates IScores for multiple imputation functions

Usage

compare_Iscores(X, methods_list, score = c("energy_IScore", "DR_IScore"), ...)

Arguments

X: data containing missing values denoted with NA's.
methods_list: a named list of imputing functions.
score: a vector of names of scores to calculate. It can be "energy_IScore" and "DR_IScore".
...: other arguments to be passed to energy_IScore or DR_IScore

Value

a vector of IScores for provided methods

Examples

set.seed(111)
X <- Iscores:::random_mcar_data(100, 3, 0.2)
methods_list <- list(exp = Iscores:::exp_imputation,
                       norm = Iscores:::norm_imputation)
compare_Iscores(X, methods_list = methods_list, m = 2,
                n_proj = 10, n_trees_per_proj = 2 )
#> Calculating the energy_IScore for method exp ...
#> Calculating the energy_IScore for method norm ...
#> Calculating the DR_IScore for method exp ...
#> Calculating the DR_IScore for method norm ...
#>       score    score_name method
#> 1 0.5982370 energy_IScore    exp
#> 2 0.7892513 energy_IScore   norm
#> 3 2.5181721     DR_IScore    exp
#> 4 2.8772068     DR_IScore   norm