R/mlame.R

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

#' 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.
#'
#' @section mlame functions:
#' So far mlame provides two functions \code{ame} and \code{ame.boot}.
#'
#' @docType package
#' @name mlame
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