get_mi_means_table: Get multiple imputation mean statistics for several variables
In EBukin/lassopmm: Create synthetic panels from cross sectional data

Get multiple imputation mean statistics for several variables

1 2	get_mi_means_table(.data, stat_variables_vec, weight_var = NULL, ids = ".id", imps = ".imp", use_random = FALSE)

`.data`	dataframe that could be converted to the mids object to perform calculations on the multiple imputations data frame.
`stat_variables_vec`	is the atomic vector with variables names
`weight_var`	variable for weighting. NULL by default.
`ids`	names of the columns wit the observation-specific ID and number of imputation.
`imps`	names of the columns wit the observation-specific ID and number of imputation.
`use_random`	harmonise imputation of the unequal size randomly. By default if FALSE, therefore, to equalise sizes of the imputed samples, simplu n-first observations is used.