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_pkgdown.yml
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_pkgdown.yml
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url: https://fastcpd.xingchi.li
template:
bootstrap: 5
bslib:
base_font:
{ google: { family: "Source Sans Pro", wght: [400, 600], ital: [0, 1] } }
code_font: { google: "Source Code Pro" }
font_scale: 1.2
primary: "#447099"
reference:
- title: Main function
desc: >
All implementation of fastcpd is unified into one single function
`fastcpd()`.
contents:
- fastcpd
- title: Wrapper functions
desc: >
Simplified functions are provided for each family.
- subtitle: Time series
desc: >
`fastcpd_ts()` and `fastcpd.ts()` are the main functions for time series
data (also wrapper functions of `fastcpd()`).
contents:
- fastcpd.ar
- fastcpd.arima
- fastcpd.arma
- fastcpd.garch
- fastcpd.ts
- fastcpd.var
- subtitle: Unlabeled data
desc: >
Used for data without response variables, for example, mean change and
variance change.
contents:
- fastcpd.mean
- fastcpd.variance
- fastcpd.meanvariance
- subtitle: Regression data
desc: >
Detect change points in the coefficients of regression-type data.
contents:
- fastcpd.binomial
- fastcpd.lasso
- fastcpd.lm
- fastcpd.poisson
- title: Utility functions
desc: >
The following functions help with visualization and analyzation of the
data.
- subtitle: Variance estimation
contents:
- variance.arma
- variance.lm
- variance.mean
- variance.median
- subtitle: Class methods
contents:
- plot.fastcpd
- print.fastcpd
- show.fastcpd
- summary.fastcpd
- title: Data
desc: >
fastcpd comes with a selection of built-in datasets that are used in
examples to illustrate various change point detection challenges.
contents:
- bitcoin
- occupancy
- transcriptome
- uk_seatbelts
- well_log
- title: Main class
desc: >
The results of `fastcpd()` will be stored in the class `fastcpd` with
accompanied several utility functions.
contents:
- fastcpd-class
articles:
- title: Examples
navbar: ~
contents:
- examples-advanced
- examples-custom-model
- title: Comparison
navbar: Comparison
contents:
- comparison-packages
- comparison-pelt
authors:
Xingchi Li:
href: https://www.xingchi.li
Xianyang Zhang:
href: https://zhangxiany-tamu.github.io