Package index • figsr

Package

The figsr package.

figsr figsr-package: figsr: Fast Interpretable Greedy-Tree Sums for Tree Ensembles

Fitting

Fit a sum of trees from a formula, or a bootstrap ensemble of them.

figs(): Fit Fast Interpretable Greedy-Tree Sums (FIGS)
bagging_figs(): Bagging-FIGS: Ensemble of FIGS Models

Prediction

Tidy predictions from a fitted model.

predict(<figsr_fit>): Predict Method for figsr_fit Models
predict(<bagging_figs_fit>): Predict Method for bagging_figs_fit Models
predict_figs(): Internal / Parsnip Predict Bridge Function for figsr_fit

Rules and importance

Read a fit as IF-THEN rules and rank its predictors.

print(<figsr_fit>): Print Method for figsr_fit Models
summary(<figsr_fit>): Summary Method for figsr_fit Models
figsr_importance(): Calculate Variable Importance for a figsr_fit Model

Plotting

Draw a fit with ‘ggplot2’ or base graphics.

ggfigs() autoplot(<figsr_fit>): 'ggplot2' Graphics for figsr_fit Models
plot(<figsr_fit>): Plot Method for figsr_fit Models

tidymodels integration

The ‘parsnip’ model specification, its engine bridge and tuning parameters.

figs_tree(): FIGS Model Specification for Parsnip
update(<figs_tree>): Update a FIGS Model Specification
fit_figs(): Fitting Bridge for the Parsnip Interface
max_splits(): Dials Parameter for Maximum Splits
max_trees(): Dials Parameter for Maximum Trees

Data

Data sets used in the examples and articles.

pima_diabetes: Pima Indians Diabetes Database