weird1.0.2 package

Functions and Data Sets for "That's Weird: Anomaly Detection Using R" by Rob J Hyndman

mvscale

Compute robust multivariate scaled data

peirce_anomalies

Anomalies according to Peirce's and Chauvenet's criteria

reexports

Objects exported from other packages

stray_anomalies

Stray anomalies

stray_scores

Stray scores

weird-package

weird: Functions and Data Sets for "That's Weird: Anomaly Detection Us...

weird_conflicts

Conflicts between weird packages and other packages

weird_packages

List all packages loaded by weird

as_kde

Convert data frame or matrix object to kde class

autoplot.kde

Produce ggplot of densities in 1 or 2 dimensions

bagplot

Bagplot

density_scores

Density scores

fetch_wine_reviews

Wine prices and points

glosh_scores

GLOSH scores

grubbs_anomalies

Statistical tests for anomalies using Grubbs' test and Dixon's test

hdr_palette

Color palette designed for plotting Highest Density Regions

hdr_table

Table of Highest Density Regions

hdrplot

HDR plot

kde_bandwidth

Robust bandwidth estimation for kernel density estimation

lof_scores

Local outlier factors

lookout

Lookout probabilities

Download source packageRead PDF manual

All functions and data sets required for the examples in the book Hyndman (2024) "That's Weird: Anomaly Detection Using R" <https://OTexts.com/weird/>. All packages needed to run the examples are also loaded.

  • Maintainer: Rob Hyndman
  • License: GPL-3
  • Last published: 2024-01-24

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