_pkgdown.yml

url: https://bcjaeger.github.io/aorsf

template:
  bootstrap: 5
  bootswatch: sandstone

navbar:
  structure:
    left:  [intro, reference, articles, tutorials, news]
    right: [search, github]

articles:
- title: Learn to use oblique RFs
  navbar: ~
  contents:
  - aorsf
  - pd
  - oobag
  - fast

reference:
- title: Oblique random forests (RFs)
  desc: Fit, inspect, summarize, and apply oblique RFs
- contents:
  - matches("^orsf$")
  - matches("^orsf_update$")
  - matches("^print\\.ObliqueForest$")
  - matches("^predict\\.ObliqueForest$")
  - matches("^orsf_summarize")
  - matches("^print\\.orsf_summary")
- title: Control how your oblique RF works
  desc: Choose how to identify linear combinations of predictors and set tuning parameters for your approach
- contents:
  - matches("^orsf_control")
- title: Variable importance/selection
  desc: Estimate the importance of individual variables and conduct variable selection using ORSFs
- contents:
  - matches("^orsf_vi")
  - matches("^orsf_vs")
- title: Partial dependence and individual conditional expectations
  desc: Interpret your model by generating partial dependence or individual conditional expectation values. Plotting functions not included (but see examples)
- contents:
  - matches("^orsf_ice")
  - matches("^orsf_pd")
  - matches("^pred_spec")
- title: Example survival data
  desc: Datasets used in examples and vignettes.
- contents:
  - matches("^pbc_orsf$")
  - matches("^penguins_orsf$")
- title: Miscellaneous
  desc: Functions that don't fit neatly into a category above, but are still helpful.
- contents:
  - matches("^as\\.data\\.table\\.orsf_summary")
  - matches("^orsf_time_to_train$")
- title: Back-end functions
  desc: Techniques used by aorsf that may be helpful in other contexts.
- contents:
  - matches("scale_cph$")