
Package index
-
interpret() - Fit MID Models
-
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
-
midlist()as.midlist() - Combine MID Objects
-
labels(<midlist>)labels(<midrib>)`labels<-`() - Label MID Objects
-
`[`(<midlist>)`[`(<midrib>)`[[`(<midrib>) - Subset MID Objects
-
mid.importance() - Calculate MID Importance
-
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
-
mid.breakdown() - Calculate MID Breakdown
-
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
-
mid.conditional() - Calculate MID Conditional Expectation
-
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
-
get.yhat() - Wrapper Prediction Function
-
get.link() - Extended Parametric Link Functions
-
factor.encoder()factor.frame() - Encoder for Qualitative Variables
-
numeric.encoder()numeric.frame() - Encoder for Quantitative Variables
-
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
-
theme_midr()par.midr() - Default Plotting Themes
-
weighted.loss() - Weighted Loss Function
-
shapviz(<mid>) - Calculate MID-Derived Shapley Values