SLOPE/_pkgdown.yml at main · jolars/SLOPE · GitHub

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destination: docs

development:
  mode: auto

url: https://jolars.github.io/SLOPE/

template:
  bootstrap: 5
  params:
    ganalytics: UA-85513662-2

news:
  releases:
    - text: "Version 0.2.0"
      href: https://jolars.co/blog/2020-04-14-slope-0-2-0/

reference:
  - title: Main Functionality
    desc:
      Fit the model with `SLOPE()`, visualize the results with `plot.SLOPE()`,
      and produce predictions for new data with `predict.SLOPE()`.
  - contents:
      - SLOPE
      - plot.SLOPE
      - print.SLOPE
      - summary.SLOPE
      - print.summary_SLOPE
      - predict.SLOPE
      - coef.SLOPE
      - deviance.SLOPE
      - score
  - title: Clusters
    desc: Analyze the cluster strucure from SLOPE fits
  - contents:
      - plotClusters
  - title: Model Tuning
    desc:
      Use `cvSLOPE()` to perform cross-validation for selecting the optimal
      regularization parameters, `plot.TrainedSLOPE()` to visualize the results,
      and `refit()` to fit the final model to your data set.
  - contents:
      - cvSLOPE
      - trainSLOPE
      - plot.TrainedSLOPE
      - print.TrainedSLOPE
      - refit
      - summary.TrainedSLOPE
      - print.summary_TrainedSLOPE
  - title: Utilities
    desc: Helper functions for various tasks.
  - contents:
      - plotDiagnostics
      - regularizationWeights
      - sortedL1Prox
  - title: Data Sets
    desc: Data sets buddled with the package.
  - contents:
      - abalone
      - bodyfat
      - heart
      - student
      - wine
      - glioma