tmle3mopttx
🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention (by tlverse)
ParBayesianOptimization
Parallelizable Bayesian Optimization in R (by AnotherSamWilson)
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| tmle3mopttx | ParBayesianOptimization | |
|---|---|---|
| 1 | 1 | |
| 10 | 99 | |
| - | - | |
| 0.0 | 0.0 | |
| over 1 year ago | over 1 year ago | |
| R | R | |
| GNU General Public License v3.0 only | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
tmle3mopttx
Posts with mentions or reviews of tmle3mopttx.
We have used some of these posts to build our list of alternatives
and similar projects.
-
[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.
ParBayesianOptimization
Posts with mentions or reviews of ParBayesianOptimization.
We have used some of these posts to build our list of alternatives
and similar projects.
-
[D] Selecting Hyperparameters Using Bayesian Optimization
Disclaimer: I am the maintainer of ParBayesianOptimization. That readme has a pretty good walkthrough of how Bayesian optimization works.
What are some alternatives?
When comparing tmle3mopttx and ParBayesianOptimization you can also consider the following projects:
lmtp - :package: Non-parametric Causal Effects Based on Modified Treatment Policies :crystal_ball:
vip - Variable Importance Plots (VIPs)
mlr3learners - Recommended learners for mlr3
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