Model Confidence Set Procedure

Implements the Model Confidence Set procedure of Hansen, Lunde and Nason (2011) using bootstrap tests of equal predictive ability. Includes loss functions for level, volatility and quantile forecasts.


Reference manual

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install.packages("MCS")

0.2.1 by Leopoldo Catania, 7 days ago


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


Authors: Leopoldo Catania [aut, cre] (ORCID:


Documentation:   PDF Manual  


GPL-2 license


Imports methods, stats


Imported by EEML.

Suggested by BigVAR, sentometrics.


See at CRAN