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_pkgdown.yml
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86 lines (77 loc) · 1.66 KB
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url: https://duncanobrien.github.io/EWSmethods/
template:
bootstrap: 5
bootswatch: lux
bslib:
pkgdown-nav-height: 150px
navbar:
bg: dark
structure:
left: [reference, articles, changelog]
right: [search, twitter, github]
components:
twitter:
icon: fa-twitter
href: http://twitter.com/duncanobrienn
aria-label: Twitter
home:
sidebar:
structure: [links, license, community, citation, authors, dev]
reference:
- title: "Early warning signal assessment"
desc: >
Functions for calculating univariate and multivariate
early warning signals.
contents:
- uniEWS
- multiEWS
- perm_rollEWS
- plot.EWSmethods
- title: "EWSNet"
desc: >
Functions for interfacing with EWSNet.
contents:
- starts_with("ewsnet")
- conda_clean
- default_weights_path
- title: "S-EWSNet"
desc: >
Functions for interfacing with S-EWSNet.
contents:
- starts_with("sewsnet")
- default_sewsnet_path
- title: "Information imbalance "
desc: >
Functions for estimating Granger causality
via information imbalance.
contents:
- II
- tuneII
- imbalance_gain
- title: "Other stability metrics"
desc: >
Additional functions estimating alternative
measures of system stability/resilience.
contents:
- FI
- uniJI
- uni_smap_jacobian
- multiJI
- multi_smap_jacobian
- mvi
- uniAR
- multiAR
- title: "Data preparation"
desc: >
Functions useful for preprocessing
data prior to analysis.
contents:
- detrend_ts
- deseason_ts
- embed_ts
- title: "Datasets"
desc: >
The exemplary datasets used in `EWSmethods` tutorials and testing.
contents:
- simTransComms
- CODrecovery