Package: HMMcopula 1.1.0

Bruno N Remillard
HMMcopula: 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) <doi:10.1002/cjs.11534>.
Authors:
HMMcopula_1.1.0.tar.gz
HMMcopula_1.1.0.zip(r-4.7-any)HMMcopula_1.1.0.zip(r-4.6-any)
HMMcopula_1.1.0.tar.gz(r-4.7-any)HMMcopula_1.1.0.tar.gz(r-4.6-any)
HMMcopula_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
HMMcopula/json (API)
| # Install 'HMMcopula' in R: |
| install.packages('HMMcopula', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:cbfcb608d8. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 150 | ||
| source / vignettes | OK | 259 | ||
| linux-release | OK | 148 | ||
| windows-devel | OK | 92 | ||
| windows-release | OK | 83 | ||
| wasm-release | OK | 135 |
Exports:bootstrapfunCopulaFamiliesCDFcopulaFamiliesPDFdilogEstHMMCopEstKendallTauEstMixtureCopGofHMMCopGofMixtureCopKendallTauParamCopParamTauRosenblattClaytonRosenblattFrankRosenblattGaussianRosenblattGumbelRosenblattStudentSimHMMCopSimMarkovChainSimMixtureCopSnBTau2Rho
Dependencies:ADGofTestclustercodetoolscolorspacecopuladoParallelforeachgsliteratorslatticeMatrixmvtnormnumDerivpcaPPpsplinestabledist
