Anomaly Detection - CRAN Task View

Angle-Based Outlier Detection

The Abnormal Blood Profile Score to Detect Blood Doping

Abrupt Change-Point or Aberration Detection in Point Series

Archetypoid Algorithms and Anomaly Detection

Obtain Alpha-Outlier Regions for Well-Known Probability Distributions

Fast Rolling Functions for Seismology using 'Rcpp'

Anomaly Detection with Normal Probability Functions

Detecting Election Fraud from Irregularities in Vote-Share Distributio...

Detecting Anomalies in Data

Utility Functions for Large-scale Data

Quality Control and Outlier Identification in Bulk for Multicenter Tri...

Detection of Outliers in Circular-Circular Regression

Robust Outliers Detection

Extreme Value Theory for Open Set Classification - GPD and GEV Classif...

Multivariate Analogy of Quantiles

Dixon's Ratio Test for Outlier Detection

Distance Measure Based Judgment and Learning

Dimension Reduction for Outlier Detection

Efficient Outlier Detection for Large Time Series Databases

Wavelet-Based Enhanced FDR for Detecting Signals from Complete or Inco...

Methods for Identification of Outliers in Environmental Data

Forecast Verification for Extreme Events

FastPCS Robust Fit of Multivariate Location and Scatter

Fits the FastRCS Robust Multivariable Linear Regression Model

Exploratory Data Analysis and Data Preparation Tool-Box

Identify Individuals with Unusual Geo-Genetic Patterns

Leland Wilkinson's Algorithm for Detecting Multidimensional Outliers

Outlier Detection Using Invariant Coordinate Selection

Two-Sample Kuiper Test

Local Density-Based Outlier Detection

Reference Intervals

Leave One Out Kernel Density Estimates for Outlier Detection

Detect Anomalies Using the Spectral Residual Algorithm

Outlier Detection of Functional Data Based on the Minimum Regularized ...

Gaussian Model-Based Clustering with Outliers

Anomaly Detection in Temporal Networks

Outlier Detection in Data Streams

Outlier Detection Using Partitioning Clustering Algorithms

Nominating Quality Control Outliers in Genomic Profiling Studies

Multivariate Outlier Detection and Replacement

Tests for Outliers

Explainable Outlier Detection Through Decision Tree Conditioning

An Implementation of Process-Aware Stealthy Attack Detection(PASAD)

Detect and Remove Outliers in Phylogenomics Datasets

Unsupervised Multivariate Outlier Probabilities for Large Datasets

Refined Modified Stahel-Donoho (MSD) Estimators for Outlier Detection ...

Refined Modified Stahel-Donoho Estimators for Outlier Detection

Linear Trend Segmentation

Statistical Analysis for Environmental Data

Multivariate Outlier Explanations using Shapley Values and Mahalanobis...

R Parallel Implementation of Local Outlier Factor(LOF)

Time Series Outlier Detection

An Implementation of Isolation Forest

Selective Editing via Mixture Models

Simulate Controlled Outliers

Anomaly Detection in High Dimensional and Temporal Data

Modelling and Analysis of Real-Time PCR Data

Concordance Based Bootstrap Methods for Outlier Detection in Survival ...

Sparse Gaussian Markov Random Field Mixtures for Anomaly Detection

Outlier Detection Using Statistical and Machine Learning Methods

Measure a Subject's Abnormality with Respect to a Reference Population

Fast Principal Component Analysis for Outlier Detection

MALDI Mass Spectrometry Data Robust Pre-Processing and Analysis

Tidy Anomaly Detection

Analyzing Data with Cellwise Outliers

Anomaly Scoring for Multivariate Time Series

K-Means with Simultaneous Outlier Detection

Robust Explainable Outlier Detection Based on OutlierTree

Functions and Data Sets for "That's Weird: Anomaly Detection Using R" ...

Multiple Grubbs-Beck Low-Outlier Test

Draws Overview of Outliers (O3) Plots

Box-Plots and Outlier Detection for Probability Density Functions

Kalman Filter for Impulse Noised Outliers

Density Ratio Estimation

Educational Outlier Package with Common Outlier Detection Algorithms

Depth Measures in Multivariate, Regression and Functional Settings

Outlier Detection Using the Iterated RMCD Method of Cerioli (2010)

Sequential Outlier Identification for Model-Based Clustering

Robust Multivariate Outlier Detection

Artificial Neural Networks for Anomaly Detection

Space-Time Anomaly Detection using Scan Statistics

Educational Outlier Detection Algorithms with Step-by-Step Tutorials

Weighted BACON Algorithms

A Collection of Outlier Ensemble Algorithms

Historical, Relational, and Tail Anomaly-Detection Algorithms

Statistical Approach to Outlier Detection in RNA-Seq and Related Data

Hot Spots

Vegetation Phenological Cycle and Anomaly Detection using Remote Sensi...