_pkgdown.yml

url: https://jkunst.com/klassets/

authors:
  Joshua Kunst:
    href: https://jkunst.com

template:
  bootstrap: 5
  bslib:
    primary: "#0054AD"
    border-radius: 0.5rem
    btn-border-radius: 0.25rem
    base_font:    {google: "IBM Plex Sans"}
    code_font:    {google: "Fira Mono"}
    heading_font: {google: "Josefin Sans"}
    # https://github.com/rstudio/bslib/blob/a4946a4/inst/lib/bs4/scss/_variables.scss
    headings-color:  "#333333"
    headings-line-height: 5rem
    headings-margin-bottom: -1rem
#     heading_font:
#       face:
#         family: "Josefin Sans"
#         weight: "400"
#         src: "url(https://fonts.gstatic.com/s/josefinsans/v24/Qw3aZQNVED7rKGKxtqIqX5EUDXx4.woff2) format('woff2')"

reference:
- title: Simulation of Quasi-Anscombe data sets.
  desc: Simulation of data set with same regression model.
- contents:
  - starts_with("sim_quasi")
- title: Clustering helpers
  desc: Functions to simulate data for test and explain clustering methods and
    functions to apply some basics algorimths.
- contents:
  - sim_groups
  - fit_kmeans
  - fit_hclust
  - fit_statskmeans
  - kmeans_iterations
- title: Binary classification
  desc: Functions to simulate data for test and explaing classifiers algorimths.
- contents:
  - sim_response_xy
  - fit_logistic_regression
  - fit_classification_tree
  - fit_classification_random_forest
  - fit_knn
- title: Regression
  desc: Functions to simulate data for test and explaing regression algorimths.
- contents:
  - sim_xy
  - fit_linear_model
  - fit_regression_tree
  - fit_linear_model_tree
  - fit_regression_random_forest
  - fit_loess
  - fit_mars
- title: MNIST
  desc: Functions to fit models to MNIST data and compare predictive measure and
    importance variable.
- contents:
  - mnist_train
  - mnist_test
  - mnist_test
  - mnist_plot_digits