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Fit MID models

interpret()
Fit MID Models

Methods

plot(<mid>)
Plot MID Component Function
ggmid() autoplot(<mid>)
Plot MID Component Function with ggplot2
plot(<mids>)
Compare MID Component Functions
ggmid(<mids>) autoplot(<mids>)
Compare MID Component Functions with ggplot2
mid.plots()
Plot Multiple MID Component Functions
predict(<mid>) predict(<mids>)
Predict Method for fitted MID Models
mid.effect() mid.f()
Evaluate Single MID Component Functions
print(<mid>) print(<mids>)
Print MID Models
summary(<mid>) summary(<mids>)
Summarize MID Models
mid.terms()
Extract Terms from MID Models

Combine MID objects

Importance of effects

mid.importance()
Calculate MID Importance

Methods

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

Breakdown of predictions

mid.breakdown()
Calculate MID Breakdown

Methods

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

Conditional expectations

mid.conditional()
Calculate MID Conditional Expectation

Methods

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

Other functions

get.yhat()
Wrapper Prediction Function
get.link()
Extended Parametric Link Functions

Variable encoders

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

Color themes

color.theme()
Color Themes for Graphics
color.theme.info() color.theme.env()
Retrieve Color Theme Information
set.color.theme()
Register Color Themes
scale_color_theme() scale_colour_theme() scale_fill_theme()
Color Theme Scales for ggplot2 Graphics

Miscellaneous

theme_midr() par.midr()
Default Plotting Themes
weighted.loss()
Weighted Loss Function
shapviz(<mid>)
Calculate MID-Derived Shapley Values