R: Model-Agnostic Interpretations with Forward Marginal Effects

# Model-Agnostic Interpretations with Forward Marginal Effects

## Documentation for package ‘fmeffects’ version 0.1.2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

fmeffects-package | fmeffects
ame | Computes AMEs for every feature (or a subset of features) of a model.
AverageMarginalEffects | R6 Class computing Average Marginal Effects (AME) based on Forward Marginal Effects (FME) for a model
bikes | Regression data of the usage of rental bikes in Washington D.C., USA
came | Computes a partitioning for a 'ForwardMarginalEffect'
fme | Computes FMEs.
fmeffects | fmeffects
ForwardMarginalEffect | R6 Class representing a forward marginal effect (FME)
makePredictor | User-friendly function to create a Predictor.
Partitioning | R6 Class representing a partitioning
PartitioningCtree | PartitioningCtree
PartitioningRpart | PartitioningRpart
plot.ForwardMarginalEffect | Plots an ForwardMarginalEffect object.
plot.Partitioning | Plots an FME Partitioning.
Predictor | R6 Class representing a predictor
PredictorCaret | PredictorCaret
PredictorMLR3 | PredictorMLR3
PredictorParsnip | PredictorParsnip
print.ForwardMarginalEffect | Prints an ForwardMarginalEffect object.
print.Partitioning | Prints an FME Partitioning.
summary.AverageMarginalEffects | Prints summary of an AverageMarginalEffects object.
summary.ForwardMarginalEffect | Prints summary of an ForwardMarginalEffect object.
summary.Partitioning | Prints summary of an FME Partitioning.