tmle3mopttx
miceRanger
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| tmle3mopttx | miceRanger | |
|---|---|---|
| 1 | 1 | |
| 10 | 61 | |
| - | - | |
| 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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tmle3mopttx
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[D] Is there a such thing as "Prespective Statistical Models"?
This package and the references therein allows for nonparametric estimation and inference for the optimal dynamic treatment: https://github.com/tlverse/tmle3mopttx.
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?
lmtp - :package: Non-parametric Causal Effects Based on Modified Treatment Policies :crystal_ball:
mice - Multivariate Imputation by Chained Equations
ParBayesianOptimization - Parallelizable Bayesian Optimization in R
mlr3learners - Recommended learners for mlr3
vip - Variable Importance Plots (VIPs)
textfeatures - 👷♂️ A simple package for extracting useful features from character objects 👷♀️
ggplot2 - An implementation of the Grammar of Graphics in R
causalglm - Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning
tweetbotornot - 🤖 R package for detecting Twitter bots via machine learning
mlr3 - mlr3: Machine Learning in R - next generation