The goal of xplainvi is to collect feature importance methods.
For now, it is built specifically around mlr3, as available abstractions for learners, tasks, measures, etc. greatly simplify the implementation of importance measures.
You can install the development version of xplainvi like so:
# install.packages(pak)
pak::pak("jemus42/xplainvi")
This is a basic example which shows you how to solve a common problem:
library(xplainvi)
## basic example code