This report provides an overview over outlier detection in R. It starts by discussing some general principles of outlier detection. Linear methods and their nonlinear extensions are presented next. Along the general methods, examples of application and an appropriate methodology in R are introduced.
-
Notifications
You must be signed in to change notification settings - Fork 0
Outlier detection using regression in R
sflippl/outlier-detection
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
Outlier detection using regression in R
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published