JOSS Papers: outliers

All Papers
3462
 Published Papers
3038
 Active Papers
424
published Published over 2 years ago

enetLTS: Robust and Sparse Methods for High Dimensional Linear, Binary, and Multinomial Regression

R
@fskurnaz
10.21105/joss.04773
published Published over 3 years ago

electiondata: a Python package for consolidating, checking, analyzing, visualizing and exporting election results

Python
@sfsinger19103
10.21105/joss.03739
published Published over 3 years ago

robustHD: An R package for robust regression with high-dimensional data

R C++ C
@aalfons
10.21105/joss.03786
published Published about 4 years ago

wbacon: Weighted BACON algorithms for multivariate outlier nomination (detection) and robust linear regression

R C
@tobiasschoch
10.21105/joss.03238
published Published over 4 years ago

LinRegOutliers: A Julia package for detecting outliers in linear regression

Julia
@jbytecode
10.21105/joss.02892
published Published over 5 years ago

molic: An R package for multivariate outlier detection in contingency tables

R C++
@mlindsk
10.21105/joss.01665
published Published over 5 years ago

Spruceup: fast and flexible identification, visualization, and removal of outliers from large multiple sequence alignments

Python
@marekborowiec
10.21105/joss.01635
published Published almost 6 years ago

RAFF.jl: Robust Algebraic Fitting Function in Julia

Julia
@fsobral
10.21105/joss.01385
published Published about 6 years ago

rrcf: Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams

Python
@mdbartos
10.21105/joss.01336
published Published over 6 years ago

PyNomaly: Anomaly detection using Local Outlier Probabilities (LoOP).

Python
@vc1492a
10.21105/joss.00845
Displaying 10 papers

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ISSN 2475-9066