Package index

Package

weird weird-package

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

Data

Data sets included in the package

n01

Multivariate standard normal data

cricket_batting

Cricket batting data for international test players

gun_deaths

Gun ownership and homicide rates by country

oldfaithful

Old faithful eruption data

fr_mortality

French mortality rates by age and sex

fetch_air_quality()

Air quality data for 12 Beijing monitoring stations from 2013 to 2017

fetch_wine_reviews()

Wine prices and points

Functions for scaling data

mvscale()

Compute robust multivariate scaled data

Functions for calculating anomaly scores

glosh_scores()

GLOSH scores

lof_scores()

Local outlier factors

stray_scores()

Stray scores

surprisals() surprisals_prob()

Surprisals and surprisal probabilities

surprisals(<lm>) surprisals(<glm>) surprisals(<gam>) surprisals_prob(<lm>) surprisals_prob(<glm>) surprisals_prob(<gam>)

Surprisals and surprisal probabilities computed from a model

surprisals(<numeric>) surprisals(<matrix>) surprisals(<data.frame>) surprisals_prob(<numeric>) surprisals_prob(<matrix>) surprisals_prob(<data.frame>)

Surprisals and surprisal probabilities computed from data

Functions for identifying anomalies

peirce_anomalies() chauvenet_anomalies()

Anomalies according to Peirce's and Chauvenet's criteria

grubbs_anomalies() dixon_anomalies()

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

hampel_anomalies()

Identify anomalies using the Hampel filter

stray_anomalies()

Stray anomalies

Functions for working with kernel density estimates

dist_kde()

Create distributional object based on a kernel density estimate

kde_bandwidth()

Robust bandwidth estimation for kernel density estimation

Functions for distributions

dist_density()

Create distributional object based on a specified density

dist_mclust()

Convert Gaussian mixture model to a distributional object

hdr_table()

Table of Highest Density Regions

density_df()

Convert distributional object to a data frame

Functions for producing plots

gg_density()

Produce ggplot of densities from distributional objects in 1 or 2 dimensions

gg_bagplot()

Bagplot

gg_hdrboxplot()

HDR plot