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url: https://stufield.github.io/stabilityselectr/
development:
mode: auto
authors:
Stu Field:
href: https://github.com/stufield
home:
links:
- text: Learn more about me
href: https://github.com/stufield
template:
bootstrap: 5
package: tidytemplate
bslib:
bg: "#202123" # dark theme
fg: "#B8BCC2" # dark theme
primary: "#0054AD"
border-radius: 0.5rem
btn-border-radius: 0.25rem
base_font: {google: "Roboto"}
navbar:
structure:
left: [intro, reference, articles, news]
right: [search, github]
components:
intro:
text: Get Started
href: articles/stabilityselectr.html
articles:
- title: Getting Started
navbar: ~
contents:
- stabilityselectr
- title: Permutation Clustering
navbar: ~
desc: >
Perform both progeny and stability clustering.
contents:
- progeny-clustering
reference:
- title: Stability Selection
desc: >
Preform stability selection.
contents:
- stability_selection
- title: Calculating FDR
desc: >
Calculate the empirical false discovery rates (FDR) via
permutations of the `NULL` model (randomized permutations).
contents:
- starts_with("calc_[a-z]")
- title: Stable Features
desc: >
Return the stable features at various probability thresholds.
contents:
- starts_with("get_[a-z]")
- title: Plotting Routines
desc: >
Various plot traces of stability paths or cluster plots.
contents:
- starts_with("plot")
- title: Progeny and Stability Clustering
desc: >
Preform progeny clustering and stability clustering.
contents:
- ends_with("_cluster")
- title: Data
desc: >
Two data sets with clustering structure.
contents:
- clust_data
- progeny_data
news:
- one_page: true