Iscores1.1.0 package

Proper Scoring Rules for Missing Value Imputation

class.balancing

Balancing of Classes

combine2Forests

Combining projection forests

combineForests

Combining a list of forest

compute_drScore

compute the density ratio score

densityRatioScore

Computation of the density ratio score

doevaluation

doevaluation: compute the imputation KL-based scoring rules

Iscores

Iscores: compute the imputation KL-based scoring rules

sample.vars.proj

Sampling of Projections

truncProb

Truncation of probability

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Implementation of a KL-based scoring rule to assess the quality of different missing value imputations in the broad sense as introduced in Michel et al. (2021) <arXiv:2106.03742>.

  • Maintainer: Loris Michel
  • License: GPL-3
  • Last published: 2022-01-05