Model-Agnostic Interpretations with Forward Marginal Effects

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Documentation for package ‘fmeffects’ version 0.1.3

• 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
PredictorLM	PredictorLM
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.