Package: weird 3.1.0.9000

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

All functions and data sets required for the examples in the book Hyndman (2026) "That's Weird: Anomaly Detection Using R" <https://OTexts.com/weird/>. All packages needed to run the examples are also loaded.

Authors:Rob Hyndman [aut, cre, cph], Torben Tvedebrink [ctb], Posit Software, PBC [cph]

weird_3.1.0.9000.tar.gz
weird_3.1.0.9000.zip(r-4.7-any)weird_3.1.0.9000.zip(r-4.6-any)weird_3.1.0.9000.zip(r-4.5-any)
weird_3.1.0.9000.tgz(r-4.6-any)weird_3.1.0.9000.tgz(r-4.5-any)
weird_3.1.0.9000.tar.gz(r-4.7-any)weird_3.1.0.9000.tar.gz(r-4.6-any)
weird_3.1.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
weird/json (API)

# Install 'weird' in R:

install.packages('weird', repos = c('https://robjhyndman.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/robjhyndman/weird/issues

Pkgdown/docs site:https://pkg.robjhyndman.com

Datasets:

cricket_batting - Cricket batting data for international test players
fashion - Fashion-MNIST sneakers
fr_mortality - French mortality rates by age and sex
gun_deaths - Gun ownership and homicide rates by country
n01 - Multivariate standard normal data
oldfaithful - Old faithful eruption data
road_deaths - Australian road deaths
us_mortality - US weekly mortality
us_senate_edges - US Senate co-voting networks
us_senate_members - US Senate co-voting networks

On CRAN:

7.77 score 31 stars 45 scripts 428 downloads 29 exports 58 dependencies

Last updated from:468806426e. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	231
source / vignettes	OK	195
linux-release	OK	224
macos-release	OK	177
macos-oldrel	OK	199
windows-devel	OK	188
windows-release	OK	146
windows-oldrel	OK	211
wasm-release	OK	117

Exports:augment autoplot biplot_projection chauvenet_anomalies density_df dist_kde dist_mclust dixon_anomalies fetch_air_quality fetch_oz_books fetch_pets2006 fetch_wine_reviews gg_bagplot gg_density gg_hdrboxplot glosh_scores grubbs_anomalies hampel_anomalies hdr_regions hdr_table kde_bandwidth lof_scores mvscale outlier_map peirce_anomalies stray_anomalies stray_scores surprisals surprisals_prob

Dependencies:aplpack backports broom cli colorspace cpp11 dbscan DEoptimR distributional dplyr evd farver FNN generics ggplot2 glue gtable isoband kernlab KernSmooth ks labeling lattice lifecycle magrittr Matrix mclust mgcv mlpack multicool mvtnorm nlme numDeriv pcaPP pillar pkgconfig pracma purrr R6 RANN RColorBrewer Rcpp RcppArmadillo RcppEnsmallen rlang robustbase S7 scales stray stringi stringr tibble tidyr tidyselect utf8 vctrs viridisLite withr

Old Faithful Geyser example

Kernel density estimates | Statistical tests | Boxplots | Scoring functions | Robust multivariate scaling

Rendered fromold-faithful.Rmdusingknitr::rmarkdown

Last update: 2026-10-09
Started: 2026-07-06

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Augment data with results from a robust principal component analysis	augment.Pca
Biplot of a two-dimensional projection	biplot_projection
Cricket batting data for international test players	cricket_batting
Convert distributional object to a data frame	density_df
Create distributional object based on a kernel density estimate	dist_kde
Convert Gaussian mixture model to a distributional object	dist_mclust
Fashion-MNIST sneakers	fashion
Air quality data for 12 Beijing monitoring stations from 2013 to 2017	air_quality fetch_air_quality
Oz books by L. Frank Baum and Ruth Plumly Thompson	fetch_oz_books oz_books
PETS2006 video frames	fetch_pets2006 pets2006
Wine prices and points	fetch_wine_reviews wine_reviews
French mortality rates by age and sex	fr_mortality
Bagplot	gg_bagplot
Produce ggplot of densities from distributional objects in 1 or 2 dimensions	gg_density
HDR plot	gg_hdrboxplot
GLOSH scores	glosh_scores
Statistical tests for anomalies using Grubbs' test and Dixon's test	dixon_anomalies grubbs_anomalies
Gun ownership and homicide rates by country	gun_deaths
Identify anomalies using the Hampel filter	hampel_anomalies
Highest density regions for each observation	hdr_regions
Table of Highest Density Regions	hdr_table
Robust bandwidth estimation for kernel density estimation	kde_bandwidth
Local outlier factors	lof_scores
Compute robust multivariate scaled data	mvscale
Multivariate standard normal data	n01
Old faithful eruption data	oldfaithful
Outlier map from a projection or principal component analysis	outlier_map
Anomalies according to Peirce's and Chauvenet's criteria	chauvenet_anomalies peirce_anomalies
Australian road deaths	road_deaths
Stray anomalies	stray_anomalies
Stray scores	stray_scores
Surprisals and surprisal probabilities	surprisals surprisals_prob
Surprisals and surprisal probabilities computed from a model	surprisals.gam surprisals.glm surprisals.lm surprisals_prob.gam surprisals_prob.glm surprisals_prob.lm
Surprisals and surprisal probabilities computed from data	surprisals.data.frame surprisals.matrix surprisals.numeric surprisals_prob.data.frame surprisals_prob.matrix surprisals_prob.numeric
US weekly mortality	us_mortality
US Senate co-voting networks	us_senate us_senate_edges us_senate_members