doevaluation: compute the imputation KL-based scoring rules
doevaluation(
imputations,
methods,
X.NA,
m,
num.proj,
num.trees.per.proj,
min.node.size,
n.cores = 1,
projection.function = NULL
)
a list of list of imputations matrices containing no missing values of the same size as X.NA
a vector of characters indicating which methods are considered for imputations. It should have the same length as the list imputations.
a matrix containing missing values, the data to impute.
the number of multiple imputation to consider, defaulting to the number of provided multiple imputations.
an integer specifying the number of projections to consider for the score.
an integer, the number of trees per projection.
the minimum number of nodes in a tree.
an integer, the number of cores to use.
a function providing the user-specific projections.
a vector made of the scores for each imputation method.