Variable Selection Algorithms Using the Distance Correlation

The 'FBED' and 'mmpc' variable selection algorithms have been implemented using the distance correlation. The references include: Tsamardinos I., Aliferis C. F. and Statnikov A. (2003). "Time and sample efficient discovery of Markovblankets and direct causal relations". In Proceedings of the ninth ACM SIGKDD international Conference. . Borboudakis G. and Tsamardinos I. (2019). "Forward-backward selection with early dropping". Journal of Machine Learning Research, 20(8): 1--39. . Huo X. and Szekely G.J. (2016). "Fast computing for distance covariance". Technometrics, 58(4): 435--447. .


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("dcorVS")

1.1 by Michail Tsagris, 2 years ago


Browse source code at https://github.com/cran/dcorVS


Authors: Michail Tsagris [aut, cre]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports dcov, Rfast, stats

Suggests Rfast2


Suggested by gomp.


See at CRAN