umasds/mlame: Estimate Average Marginal Effects for Machine Learning Algorithms
An easy way to estimate average marginal effects (AME), predicted probabilities / values and similar quantities from different kinds of machine learning algorithms. Bootstrap estimates of standard errors, confidence intervals and p-values are also provided.
Getting started
Browse package contents
Package details |
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| Maintainer | |
| License | GPL-3 |
| Version | 0.0.0.9000 |
| URL | https://github.com/umasds/mlame |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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