lmtp
tmlenet
| lmtp | tmlenet | |
|---|---|---|
| 1 | 1 | |
| 53 | 20 | |
| - | - | |
| 5.2 | 0.0 | |
| 7 days ago | over 6 years ago | |
| R | R | |
| GNU Affero General Public License v3.0 | - |
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lmtp
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[Q] Should G-methods, IPTW always be used over traditional regression?
The tlverse/sl3 super learner library is much better integrated and a lot more powerful (a bit more complicated in the beginning but once you understand it, its great). LMTP has a separate branch that uses sl3: https://github.com/nt-williams/lmtp/tree/sl3-devel. To specify formulas is sl3, you just do Lrnr_glmnet$new(formula = ~ 1 + W + A + A*W), but make sure to download the "dev" version: devtools::install_github("tlverse/sl3", ref = "devel").
tmlenet
What are some alternatives?
causalglm - Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning
tmle3mopttx - 🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention
hal9001 - 🤠📿 The Highly Adaptive Lasso
sjPlot - sjPlot - Data Visualization for Statistics in Social Science
MicrobiomeStat - Track, Analyze, Visualize: Unravel Your Microbiome's Temporal Pattern with MicrobiomeStat
vip - Variable Importance Plots (VIPs)
hermiter - Efficient Sequential and Batch Estimation of Univariate and Bivariate Probability Density Functions and Cumulative Distribution Functions along with Quantiles (Univariate) and Nonparametric Correlation (Bivariate)