umasds/mlame: Estimate Average Marginal Effects for Machine Learning Algorithms
Version 0.0.0.9000

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

Package details

Maintainer
LicenseGPL-3
Version0.0.0.9000
URL https://github.com/umasds/mlame
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("umasds/mlame")
umasds/mlame documentation built on May 27, 2017, 6:51 p.m.