  Forward marginal effects (FMEs) have recently been introduced as a versatile
and effective model-agnostic interpretation method. They provide comprehensible
and actionable model explanations in the form of: If we change $x$ by an amount
$h$, what is the change in predicted outcome $\widehat{y}$? We present the R
package fmeffects, the first software implementation of FMEs. The relevant
theoretical background, package functionality and handling, as well as the
software design and options for future extensions are discussed in this paper.
