Package index • midr

Fit MID models

interpret(): Fit MID Models

Methods

ggmid() autoplot(<mid>): Plot MID with ggplot2 Package

mid.extract() mid.encoding.scheme() mid.frames() mid.terms() terms(<mid>) terms(<mid.importance>) formula(<mid>) model.frame(<mid>): Extract Components from MID Models

mid.plots(): Plot Multiple MID Component Functions

plot(<mid>): Plot MID with graphics Package

predict(<mid>) mid.f(): Predict Method for fitted MID Models

print(<mid>): Print MID Models

summary(<mid>): Summarize MID Models

Importance of effects

mid.importance() print(<mid.importance>): Calculate MID Importance

Methods

ggmid(<mid.importance>) autoplot(<mid.importance>): Plot MID Importance with ggplot2 Package

plot(<mid.importance>): Plot MID Importance with graphics Package

Breakdown of predictions

mid.breakdown() print(<mid.breakdown>): Calculate MID Breakdown

Methods

ggmid(<mid.breakdown>) autoplot(<mid.breakdown>): Plot MID Breakdown with ggplot2 Package

plot(<mid.breakdown>): Plot MID Breakdown with graphics Package

Conditional expectations

mid.conditional() print(<mid.conditional>): Calculate ICE of MID Models

Methods

ggmid(<mid.conditional>) autoplot(<mid.conditional>): Plot ICE of MID Model with ggplot2 Package

plot(<mid.conditional>): Plot ICE of MID Model with graphics Package

Other functions

Variable encoders

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

numeric.encoder() numeric.frame() print(<encoder>): Encoder for Quantitative Variables

Weighted data frames

weighted() augmented() shuffled() latticized() weights(<weighted>): Weighted Data Frames

Color themes

color.theme() plot(<color.theme>) print(<color.theme>): Color Themes for Graphics

scale_color_theme() scale_colour_theme() scale_fill_theme(): Color Scales for ggplot2 Graphics based on Color Themes

Miscellaneous

get.yhat(): Wrapper Prediction Function

theme_midr() par.midr(): Theme for ggplot Objects

weighted.tabulate(): Weighted Tabulation for Vectors

weighted.quantile(): Weighted Sample Quantile

weighted.mse() weighted.rmse() weighted.mae() weighted.medae(): Weighted Loss Functions

shapviz(<mid>): Calculate SHAP of MID Predictions