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
Outlier Detection and Influence Diagnostics for Meta-Analysis
Quality Control and Outlier Identification in Bulk for Multicenter Tri...
Detection of Outliers in Circular-Circular Regression
Compositional Data Analysis
Robust Outliers Detection
A Robust and Powerful Test of Abnormal Stock Returns in Long-Horizon E...
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...
Ensemble Partial Least Squares Regression
Methods for Identification of Outliers in Environmental Data
Forecast Verification for Extreme Events
Univariate Outlier Detection
FastPCS Robust Fit of Multivariate Location and Scatter
Fits the FastRCS Robust Multivariable Linear Regression Model
Exploratory Data Analysis and Data Preparation Tool-Box
Multivariate Outlier Detection and Imputation for Incomplete Survey Da...
Time Series Analysis
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
Calculations and Visualisations Related to Geometric Morphometrics
Local Density-Based Outlier Detection
Multivariate Outlier Detection Based on Robust Methods
Reference Intervals
Leave One Out Kernel Density Estimates for Outlier Detection
Isolation-Based 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
Bayesian Reconstruction of Disease Outbreaks by Combining Epidemiologi...
A Collection of Disease Outbreak Data
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
Detection of Outliers in Time Series
Bagplots, Boxplots and Rainbow Plots for Functional Data
Refined Modified Stahel-Donoho (MSD) Estimators for Outlier Detection ...
Refined Modified Stahel-Donoho Estimators for Outlier Detection
Detection of Univariate Outliers
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
Innovative and/or Additive Outlier Robust Kalman Filtering
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
Automated Cleaning of Occurrence Records from Biological Collections
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" ...
Density-Based Spatial Clustering of Applications with Noise (DBSCAN) a...
Multiple Grubbs-Beck Low-Outlier Test
Draws Overview of Outliers (O3) Plots
Box-Plots and Outlier Detection for Probability Density Functions
Outlier Detection Tools for Functional Data Analysis
Kalman Filter for Impulse Noised Outliers
Density Ratio Estimation
Educational Outlier Package with Common Outlier Detection Algorithms
Functional Data Analysis and Utilities for Statistical Computing
Exploring Water Quality Monitoring Data
Depth Measures in Multivariate, Regression and Functional Settings
Outlier Detection Using the Iterated RMCD Method of Cerioli (2010)
Depth-Based Classification and Calculation of Data Depth
Sequential Outlier Identification for Model-Based Clustering
Robust Multivariate Outlier Detection
Artificial Neural Networks for Anomaly Detection
Kernel-Based Machine Learning Lab
Robust Multivariate Methods for High Dimensional Data
Detecting Outliers in Network Meta-Analysis
R Interface to X-13-ARIMA-SEATS
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
Statistical Approach to Outlier Detection in RNA-Seq and Related Data
Elastic Functional Data Analysis
Hot Spots
Tools for Descriptive Statistics
Temporal and Spatio-Temporal Modeling and Monitoring of Epidemic Pheno...
Influential Case Detection Methods for Factor Analysis and Structural ...
Vegetation Phenological Cycle and Anomaly Detection using Remote Sensi...
Historical, Relational, and Tail Anomaly-Detection Algorithms