vimp
Perform inference on algorithm-agnostic variable importance (by bdwilliamson)
tmle3mopttx
🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention (by tlverse)
| vimp | tmle3mopttx | |
|---|---|---|
| 1 | 1 | |
| 21 | 10 | |
| - | - | |
| 5.2 | 0.0 | |
| 5 months ago | over 1 year ago | |
| R | R | |
| GNU General Public License v3.0 or later | 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.
vimp
Posts with mentions or reviews of vimp.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Is it possible to use cross-validation to estimate the reliability of a specific predictor?
Check out the VIMP package https://github.com/bdwilliamson/vimp and related paper http://proceedings.mlr.press/v119/williamson20a.html
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.
What are some alternatives?
When comparing vimp and tmle3mopttx you can also consider the following projects:
lmtp - :package: Non-parametric Causal Effects Based on Modified Treatment Policies :crystal_ball:
ParBayesianOptimization - Parallelizable Bayesian Optimization in R
vip - Variable Importance Plots (VIPs)
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