Recent R package releases
Last update: 2022-01-12
We regularly update recently released R packages handling missing values. This is a non-exhaustive list, if you have suggestions feel free to contact us.
PKLMtest: Implementation of a KL-based (Kullback-Leibler) test for MCAR (Authors: Meta-Lina Spohn, Loris Michel, Jeffrey Naef; related article)
Iscores: Proper Scoring Rules for Missing Value Imputation (Authors: Loris Michel, Meta-Lina Spohn, Jeffrey Naef; related article)
NADIA: NA Data Imputation Algorithms (Authors: Jan Borowski, Piotr Fic, Katarzyna Woznica)
misaem: Logistic regression with missing covariates—Parameter estimation, model selection and prediction within a joint-modeling framework (Authors: Jiang W, Josse J, Lavielle M, Group T)
imputeFin: Imputation of Financial Time Series with Missing Values (Authors: Junyan Liu, Daniel P. Palomar)
missSBM: Handling Missing Data in Stochastic Block Models (Authors: Julien Chiquet, Pierre Barbillon, Timothée Tabouy)
RMixtComp: Mixture Models with Heterogeneous and (Partially) Missing Data (Authors: Vincent Kubicki, Christophe Biernacki, Quentin Grimonprez)
ABSLOPE: High-dimensional Model Selection with Missing Values (Author: Wei Jiang)
bnstruct: Bayesian Network Structure Learning from Data with Missing Values (Authors: Francesco Sambo, Alberto Franzin)
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psfmi: Predictor Selection Functions for Logistic and Cox regression models in multiply imputed datasets (Author: Martijn Heymans)
Websites discussing missing values
- Imputation of missing values in Python (using scikit-learn) (scikit-learn documentation)
- DataWig: a framework for learning models to impute missing values in tables using Python
Miscellaneous
- Missing Values in Data Mining (Soft Computing and Intelligent Information Systems research group, University of Granada)
- https://missingdata.org/ (James Carpenter, Jonathan Bartlett, London School of Hygiene & Tropical Medicine)
- Mice package documentation
- http://missingdatasolutions.rbind.io/ (Martijn W Heymans)
- Missing data on Twitter
Credits
The forkme Github corner has been made from the work by Tim Holman at this link.