missing-at-random

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xsswang / remiod
R package for controlled multiple imputation of ordinal or binary responses with missing data in clinical study
reference-based multiple-imputation ordinal-regression generalized-linear-models jags missing-data glm pattern-mixture-model bayesian mcmc missing-at-random missing-not-at-random non-ignorable control-based jump-to-reference copy-reference delta-adjustment r-package statistics
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mark-antal-csizmadia / em-simple
Expectation Maximization (EM) algorithm for estimating maximum likelihood (ML) parameters of partially observed data on a three-node Bayesian Network Probabilistic Graphical Model.
expectation-maximization probabilistic-graphical-models sufficient-statistics data-observability missing-at-random python
Language:Jupyter Notebook