LinRegOutliers: A Julia package for detecting outliers in linear regression
The Journal of Open Source Software, cilt.6, sa.57, ss.1-6, 2021 (Hakemli Dergi)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 6 Sayı: 57
- Basım Tarihi: 2021
- Doi Numarası: 10.21105/joss.02892
- Dergi Adı: The Journal of Open Source Software
- Sayfa Sayıları: ss.1-6
- Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
- İstanbul Üniversitesi Adresli: Evet
Özet
LinRegOutliersis a Julia package that implements a number of outlier detection algorithmsfor linear regression. The package also implements robust covariance matrix estimation andgraphing functions which can be used to visualize the regression residuals and distances be-tween observations, with many possible metrics (e.g., the Euclidean or Mahalanobis distanceswith either given or estimated covariance matrices). Our package implements many algo-rithms and diagnostics for model fitting with outliers under a single interface, which allowsusers to quickly try many different methods with reasonable default settings, while also pro-viding a good starting framework for researchers who may want to extend the package withnovel methods