Harminder858/anomaly_twitter_harminder: Anomaly Detection Using Seasonal Hybrid Extreme Studentized Deviate Test

A technique for detecting anomalies in seasonal univariate time series. The methods uses are robust, from a statistical standpoint, in the presence of seasonality and an underlying trend. These methods can be used in wide variety of contexts. For example, detecting anomalies in system metrics after a new software release, user engagement post an 'A/B' test, or for problems in econometrics, financial engineering, political and social sciences.

install.packages("remotes")
remotes::install_github("Harminder858/anomaly_twitter_harminder")