Learning from Black-Box Models by Maximum Interpretation Decomposition


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Documentation for package ‘midr’ version 0.6.0

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.glm Wrapper Prediction Function
get.yhat.glmnet Wrapper Prediction Function
get.yhat.ksvm Wrapper Prediction Function
get.yhat.lm Wrapper Prediction Function
get.yhat.mid Wrapper Prediction Function
get.yhat.mids Wrapper Prediction Function
get.yhat.model_fit 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