tmle3mopttx
miceRanger
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tmle3mopttx | miceRanger | |
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1 | 1 | |
10 | 61 | |
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0.0 | 0.0 | |
over 1 year ago | over 1 year ago | |
R | R | |
GNU General Public License v3.0 only | 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.
What are some alternatives?
mice - Multivariate Imputation by Chained Equations
lmtp - :package: Non-parametric Causal Effects Based on Modified Treatment Policies :crystal_ball:
vip - Variable Importance Plots (VIPs)
mlr3learners - Recommended learners for mlr3
ParBayesianOptimization - Parallelizable Bayesian Optimization in R
textfeatures - 👷♂️ A simple package for extracting useful features from character objects 👷♀️
causalglm - Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning
mlr3 - mlr3: Machine Learning in R - next generation
tweetbotornot - 🤖 R package for detecting Twitter bots via machine learning
ggplot2 - An implementation of the Grammar of Graphics in R