R: Learning from Black-Box Models by Maximum Interpretation Decomposition

# Learning from Black-Box Models by Maximum Interpretation Decomposition

## Documentation for package ‘midr’ version 0.6.1

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

as.midlist | Combine MID Objects
autoplot.mid | Plot MID Component Function with ggplot2
autoplot.midbrk | Plot MID Breakdown with ggplot2
autoplot.midbrks | Compare MID Breakdowns with ggplot2
autoplot.midcon | Plot MID Conditional Expectation with ggplot2
autoplot.midcons | Compare MID Conditional Expectations with ggplot2
autoplot.midimp | Plot MID Importance with ggplot2
autoplot.midimps | Compare MID Importances with ggplot2
autoplot.mids | Compare MID Component Functions with ggplot2
color.theme | Color Themes for Graphics
color.theme.env | Retrieve Color Theme Information
color.theme.info | Retrieve Color Theme Information
extract.midlist | Subset MID Objects
factor.encoder | Encoder for Qualitative Variables
factor.frame | Encoder for Qualitative Variables
get.link | Extended Parametric Link Functions
get.yhat | Wrapper Prediction Function
get.yhat.AccurateGLM | Wrapper Prediction Function
get.yhat.coxph | Wrapper Prediction Function
get.yhat.default | Wrapper Prediction Function
get.yhat.fitlist | Wrapper Prediction Function
get.yhat.flexsurvreg | Wrapper Prediction Function
get.yhat.gam | Wrapper Prediction Function
get.yhat.glm | Wrapper Prediction Function
get.yhat.glmnet | Wrapper Prediction Function
get.yhat.ksvm | Wrapper Prediction Function
get.yhat.lm | Wrapper Prediction Function
get.yhat.mboost | Wrapper Prediction Function
get.yhat.mid | Wrapper Prediction Function
get.yhat.mids | Wrapper Prediction Function
get.yhat.model_fit | Wrapper Prediction Function
get.yhat.ObliqueForest | Wrapper Prediction Function
get.yhat.randomForest | Wrapper Prediction Function
get.yhat.ranger | Wrapper Prediction Function
get.yhat.rfsrc | Wrapper Prediction Function
get.yhat.rpart | Wrapper Prediction Function
get.yhat.rpf | Wrapper Prediction Function
get.yhat.svm | Wrapper Prediction Function
get.yhat.workflow | Wrapper Prediction Function
ggmid | Plot MID Component Function with ggplot2
ggmid.mid | Plot MID Component Function with ggplot2
ggmid.midbrk | Plot MID Breakdown with ggplot2
ggmid.midbrks | Compare MID Breakdowns with ggplot2
ggmid.midcon | Plot MID Conditional Expectation with ggplot2
ggmid.midcons | Compare MID Conditional Expectations with ggplot2
ggmid.midimp | Plot MID Importance with ggplot2
ggmid.midimps | Compare MID Importances with ggplot2
ggmid.mids | Compare MID Component Functions with ggplot2
interpret | Fit MID Models
interpret.default | Fit MID Models
interpret.formula | Fit MID Models
labels.midlist | Label MID Objects
labels.midrib | Label MID Objects
labels<- | Label MID Objects
labels<-.midlist | Label MID Objects
labels<-.midrib | Label MID Objects
mid.breakdown | Calculate MID Breakdown
mid.conditional | Calculate MID Conditional Expectation
mid.effect | Evaluate Single MID Component Functions
mid.f | Evaluate Single MID Component Functions
mid.importance | Calculate MID Importance
mid.plots | Plot Multiple MID Component Functions
mid.terms | Extract Terms from MID Models
midlist | Combine MID Objects
numeric.encoder | Encoder for Quantitative Variables
numeric.frame | Encoder for Quantitative Variables
par.midr | Default Plotting Themes
plot.mid | Plot MID Component Function
plot.midbrk | Plot MID Breakdown
plot.midbrks | Compare MID Breakdowns
plot.midcon | Plot MID Conditional Expectation
plot.midcons | Compare MID Conditional Expectations
plot.midimp | Plot MID Importance
plot.midimps | Compare MID Importances
plot.mids | Compare MID Component Functions
predict.mid | Predict Method for fitted MID Models
predict.mids | Predict Method for fitted MID Models
print.mid | Print MID Models
print.mids | Print MID Models
scale_color_theme | Color Theme Scales for ggplot2 Graphics
scale_colour_theme | Color Theme Scales for ggplot2 Graphics
scale_fill_theme | Color Theme Scales for ggplot2 Graphics
set.color.theme | Register Color Themes
shapviz.mid | Calculate MID-Derived Shapley Values
summary.mid | Summarize MID Models
summary.mids | Summarize MID Models
theme_midr | Default Plotting Themes
weighted.loss | Weighted Loss Function
[.midlist | Subset MID Objects
[.midrib | Subset MID Objects
[[.midrib | Subset MID Objects