url: https://radiant-rstats.github.io/radiant.model

template:
  params:
    docsearch:
      api_key: 279f8fe71a37f83093f51a606ddc3f50
      index_name: radiant_model

navbar:
  title: "radiant.model"
  left:
    - icon: fa-home fa-lg
      href: index.html
    - text: "Reference"
      href: reference/index.html
    - text: "Articles"
      href: articles/index.html
    - text: "Changelog"
      href: news/index.html
    - text: "Other Packages"
      menu:
        - text: "radiant"
          href: https://radiant-rstats.github.io/radiant/
        - text: "radiant.data"
          href: https://radiant-rstats.github.io/radiant.data/
        - text: "radiant.design"
          href: https://radiant-rstats.github.io/radiant.design/
        - text: "radiant.basics"
          href: https://radiant-rstats.github.io/radiant.basics/
        - text: "radiant.model"
          href: https://radiant-rstats.github.io/radiant.model/
        - text: "radiant.multivariate"
          href: https://radiant-rstats.github.io/radiant.multivariate/
        - text: "docker"
          href: https://github.com/radiant-rstats/docker
  right:
   - icon: fa-twitter fa-lg
     href: https://twitter.com/vrnijs
   - icon: fa-github fa-lg
     href: https://github.com/radiant-rstats

reference:
- title: Model > Linear regression (OLS)
  desc: Estimate linear regression models
  contents:
    - regress
    - summary.regress
    - predict.regress
    - print.regress.predict
    - plot.regress
- title: Model > Logistic regression
  desc: Estimate logistic regression models
  contents:
    - logistic
    - summary.logistic
    - predict.logistic
    - print.logistic.predict
    - plot.logistic
    - confint_robust
- title: Model > Multinomial logistic regression
  desc: Estimate multinomial logistic regression models
  contents:
    - mnl
    - summary.mnl
    - predict.mnl
    - print.mnl.predict
    - plot.mnl.predict
    - store.mnl.predict
    - plot.mnl
- title: Model > Neural network
  desc: Estimate neural network models
  contents:
    - nn
    - summary.nn
    - predict.nn
    - print.nn.predict
    - plot.nn
    - cv.nn
- title: Model > Naive Bayes
  desc: Estimate naive Bayes models
  contents:
    - nb
    - summary.nb
    - predict.nb
    - print.nb.predict
    - plot.nb.predict
    - store.nb.predict
    - plot.nb
- title: Model > Classification and regression trees
  desc: Estimate classification and regression trees
  contents:
    - crtree
    - summary.crtree
    - predict.crtree
    - print.crtree.predict
    - plot.crtree
    - cv.crtree
- title: Model > Random Forest
  desc: Estimate a random forest of classification or regression trees
  contents:
    - rforest
    - summary.rforest
    - predict.rforest
    - print.rforest.predict
    - plot.rforest.predict
    - store.rforest.predict
    - plot.rforest
    - cv.rforest
- title: Model > Gradient Boosted Trees
  desc: Estimate a gradient boosted trees for regression of classification
  contents:
    - gbt
    - summary.gbt
    - predict.gbt
    - print.gbt.predict
    - plot.gbt
    - cv.gbt
- title: Model > Evaluate regression
  desc: Evaluate regression models
  contents:
    - evalreg
    - summary.evalreg
    - plot.evalreg
    - MAE
    - RMSE
    - Rsq
    - profit
- title: Model > Evaluate classification
  desc: Evaluate binary classification models
  contents:
    - evalbin
    - summary.evalbin
    - plot.evalbin
    - confusion
    - summary.confusion
    - plot.confusion
    - auc
    - rig
    - uplift
    - summary.uplift
    - plot.uplift
- title: Model > Collaborative filtering
  desc: Esitmate collaborative filtering models
  contents:
    - crs
    - summary.crs
    - plot.crs
- title: Model > Decision analysis
  desc: Create and evaluate decision trees
  contents:
    - dtree
    - summary.dtree
    - plot.dtree
    - sensitivity
    - sensitivity.dtree
    - dtree_parser
- title: Model > Simulate
  desc: Create simulation models
  contents:
    - simulater
    - summary.simulater
    - plot.simulater
    - repeater
    - summary.repeater
    - plot.repeater
    - sim_summary
    - sdw
    - sim_cleaner
    - sim_splitter
    - sim_cor
    - find_max
    - find_min
- title: General modeling functions
  desc: General modeling functions
  contents:
    - plot.model.predict
    - scale_df
    - minmax
    - onehot
    - predict_model
    - print_predict_model
    - store.model
    - store.model.predict
    - render.DiagrammeR
    - test_specs
    - var_check
    - write.coeff
    - pdp_plot
    - pred_plot
    - varimp
    - varimp_plot
- title: Starting radiant.model
  desc: Functions used to start radiant shiny apps
  contents:
    - radiant.model
    - radiant.model_viewer
    - radiant.model_window
- title: Data sets
  desc: Data sets bundled with radiant.model
  contents:
    - catalog
    - dvd
    - direct_marketing
    - houseprices
    - ideal
    - kaggle_uplift
    - ketchup
    - movie_contract
    - ratings
- title: Deprecated
  desc: Deprecated
  contents:
    - ann
    - store.crs
articles:
- title: Model Menu
  desc: >
    These vignettes provide an introduction to the Model menu in radiant
  contents:
    - pkgdown/regress
    - pkgdown/logistic
    - pkgdown/mnl
    - pkgdown/nn
    - pkgdown/nb
    - pkgdown/crtree
    - pkgdown/rforest
    - pkgdown/gbt
    - pkgdown/evalreg
    - pkgdown/evalbin
    - pkgdown/crs
    - pkgdown/dtree
    - pkgdown/simulater