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rarefun  

Functions for Rare Events Analysis
View on CRAN: Click here


Download and install rarefun package within the R console
Install from CRAN:
install.packages("rarefun")

Install from Github:
library("remotes")
install_github("cran/rarefun")

Install by package version:
library("remotes")
install_version("rarefun", "0.1.0")



Attach the package and use:
library("rarefun")
Maintained by
Vyacheslav Lyubchich
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-06-02
Latest Update: 2026-06-02
Description:
Functions for detecting and analyzing rare events in data. Implements isolation forest (Liu et al., 2008, <doi:10.1109/ICDM.2008.17>) and clustering for anomaly detection in time series residuals. Decomposes time series using LOESS (Locally Estimated Scatterplot Smoothing) or STL (Seasonal-Trend decomposition using LOESS). Detects marine heatwaves and cold spells following Hobday et al. (2016) <doi:10.1016/j.pocean.2015.12.014>. Provides goodness-of-fit tests for quantile regression (Haupt et al., 2011, <doi:10.1080/02664763.2011.573542>), partial dependence with quantile random forests, MCC (Matthews Correlation Coefficient) computation and testing, knee-point detection via the Kneedle algorithm (Satopaa et al., 2011, <doi:10.1109/ICDCSW.2011.20>), and spatial point matching.
How to cite:
Vyacheslav Lyubchich (2026). rarefun: Functions for Rare Events Analysis. R package version 0.1.0, https://cran.r-project.org/web/packages/rarefun. Accessed 26 Oct. 2026.
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