miceRanger
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miceRanger | vip | |
---|---|---|
1 | 1 | |
61 | 186 | |
- | 1.1% | |
0.0 | 6.5 | |
over 1 year ago | 6 months ago | |
R | R | |
GNU General Public License v3.0 or later | - |
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miceRanger
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Multiple imputation packages in R
I developed miceRanger because the mice package uses a really slow implementation of random forests. It has a bunch of plotting capabilities and can impute new datasets without re-training the models used in the mice procedure.
vip
What are some alternatives?
mice - Multivariate Imputation by Chained Equations
ParBayesianOptimization - Parallelizable Bayesian Optimization in R
mlr3learners - Recommended learners for mlr3
aps2020 - Code for the paper 'Variable Selection with Copula Entropy' published on Chinese Journal of Applied Probability and Statistics
ggplot2 - An implementation of the Grammar of Graphics in R
tmle3mopttx - 🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention
tweetbotornot - 🤖 R package for detecting Twitter bots via machine learning
lmtp - :package: Non-parametric Causal Effects Based on Modified Treatment Policies :crystal_ball:
mlr3 - mlr3: Machine Learning in R - next generation
textfeatures - 👷♂️ A simple package for extracting useful features from character objects 👷♀️