multiple-imputation

Multivariate Imputation by Chained Equations

Flexible Imputation of Missing Data - bookdown source

Some Additional Multiple Imputation Functions, Especially for 'mice'.

R enviroment - fast imputations 🐉

Multiple Imputation with GAMLSS

Use tidyverse functions to correctly meld and pool multiply imputed model output

Awesome papers on Missing Data

Extend broom's tidy() and glance() to work with lists of multiply imputed regression models

Model Based Treatment of Missing Data

psfmi: Predictor Selection Functions for Logistic and Cox regression models in multiply imputed datasets

A package for synthetic data generation for imputation using single and multiple imputation methods.

Code of the experiments ran in our GigaScience article: Benchmarking missing-values approaches for predictive models on health databases.

Analyses of Fear Generalization Task in SAM study

From missing mechanism of data to data imputation

Multiple imputation with chained equation implemented from scratch. This is a low performance implementation meant for pedagogical purposes only.

Landing page for amices.org

Code and supplementary materials for the manuscript "Multiple imputation for cause-specific Cox models: assessing methods for estimation and prediction" (2022, Statistical Methods in Medical Research)

Code for Master's Thesis Data Science & Society

Replication code for "Connecting Leaves to the Forest" academic project.