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