Package index • midr

Fit MID models

interpret(): Fit MID Models

Methods

ggmid() autoplot(<mid>): Plot MID Component Function with ggplot2
ggmid(<mids>) autoplot(<mids>): Compare MID Component Functions with ggplot2
plot(<mid>): Plot MID Component Function
plot(<mids>): Compare MID Component Functions
predict(<mid>) predict(<mids>): Predict Method for fitted MID Models
print(<mid>) print(<mids>): Print MID Models
summary(<mid>) summary(<mids>): Summarize MID Models

Combine MID objects

midlist() as.midlist(): Combine MID Objects

Methods

`[`(<midlist>) `[`(<midrib>) `[[`(<midrib>): Subset MID Objects
labels(<midlist>) labels(<midrib>) `labels<-`(): Label MID Objects

Importance of effects

mid.importance(): Calculate MID Importance

Methods

ggmid(<midimp>) autoplot(<midimp>): Plot MID Importance with ggplot2
ggmid(<midimps>) autoplot(<midimps>): Compare MID Importances with ggplot2
plot(<midimp>): Plot MID Importance
plot(<midimps>): Compare MID Importances

Breakdown of predictions

mid.breakdown(): Calculate MID Breakdown

Methods

ggmid(<midbrk>) autoplot(<midbrk>): Plot MID Breakdown with ggplot2
ggmid(<midbrks>) autoplot(<midbrks>): Compare MID Breakdowns with ggplot2
plot(<midbrk>): Plot MID Breakdown
plot(<midbrks>): Compare MID Breakdowns

Conditional expectations

mid.conditional(): Calculate MID Conditional Expectation

Methods

ggmid(<midcon>) autoplot(<midcon>): Plot MID Conditional Expectation with ggplot2
ggmid(<midcons>) autoplot(<midcons>): Compare MID Conditional Expectations with ggplot2
plot(<midcon>): Plot MID Conditional Expectation
plot(<midcons>): Compare MID Conditional Expectations

Other functions

get.link(): Extended Parametric Link Functions
get.yhat(): Wrapper Prediction Function
term.effect() term.f(): Evaluate Single Component Functions of Additive Models
term.labels(): Extract and Filter Term Labels
weighted.loss(): Weighted Loss Function

Color themes

color.theme() is.color.theme(): Color Themes for Graphics
color.theme.register() set.color.theme(): Register Color Themes
color.themes(): Retrieve Color Theme Information
scale_color_theme() scale_colour_theme() scale_fill_theme(): Color Theme Scales for ggplot2 Graphics
to.colors(): Map Values to Colors using Color Themes

Variable encoders

factor.encoder() factor.frame(): Encoder for Qualitative Variables
numeric.encoder() numeric.frame(): Encoder for Quantitative Variables

Miscellaneous

midr.options() midr.par(): Set or Get Global Options for the midr Package
shapviz(<mid>): Calculate MID-Derived Shapley Values
theme_midr(): Default Plotting Themes