Markov Regime Switching Copula Models Estimation and Goodness-of-Fit

Estimation procedures and goodness-of-fit test for several Markov regime switching models and mixtures of bivariate copula models. The goodness-of-fit test is based on a Cramer-von Mises statistic and uses Rosenblatt's transform and parametric bootstrap to estimate the p-value. The proposed methodologies are described in Nasri, Remillard and Thioub (2020) .


Reference manual

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install.packages("HMMcopula")

1.1.0 by Bruno N Remillard, 2 years ago


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


Authors: Bouchra R. Nasri [aut] , Bruno N Remillard [aut, cre, cph] , Mamadou Yamar Thioub [aut] , Romanic Pieugueu [aut]


Documentation:   PDF Manual  


GPL (>= 2) license


Depends on mvtnorm, foreach, doParallel, copula


See at CRAN