saberpowers/causalLearning: Methods for heterogeneous treatment effect estimation
The main functions are cv.causalBoosting and bagged.causalMARS, which build upon the simpler causalBoosting and causalMARS functions. All of these functions have their own predict methods.
Getting started
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Package details |
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| Maintainer | |
| License | GPL-2 |
| Version | 1.0.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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