Function reference • fmeffects

All functions

AverageMarginalEffects: R6 Class computing Average Marginal Effects (AME) based on Forward Marginal Effects (FME) for a model

ForwardMarginalEffect: R6 Class representing a forward marginal effect (FME)

Partitioning: R6 Class representing a partitioning

PartitioningCtree: PartitioningCtree

PartitioningRpart: PartitioningRpart

Predictor: R6 Class representing a predictor

PredictorCaret: PredictorCaret

PredictorLM: PredictorLM

PredictorMLR3: PredictorMLR3

PredictorParsnip: PredictorParsnip

ame(): Computes AMEs for every feature (or a subset of features) of 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-package: fmeffects

makePredictor(): User-friendly function to create a Predictor.

plot(<ForwardMarginalEffect>): Plots an ForwardMarginalEffect object.

plot(<Partitioning>): Plots an FME Partitioning.

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.