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...ject: RE: [R] Maximum likelihood estimate of bivariate vonmises-weibulldistribution look at the following code: library(copula) par(mfrow = c(2, 2)) x <- mvdc(normalCopula(sin(0.5 * pi /2)), c("norm", "norm"), list(list(mean = 0, sd = 1), list(mean = 0, sd = 1))) contour(x, dmvdc, xlim = c(-2.7, 2.7), ylim = c(-2.7, 2.7)) x <- mvdc(frankCopula(5.736276), c("norm", "norm"), list(list(mean = 0, sd = 1), list(mean = 0, sd = 1))) contour(x, dmvdc, xlim = c(-2.7, 2.7), ylim = c(-2.7, 2.7)) x <- mvdc(gumbelCopula(2), c("norm", "norm&quot...

...c(copula = ellipCopula("normal", param = c(rho12, rho13, rho23),dim = 3, dispstr = "un"), margins = c("tobit", "tobit", "tobit"), paramMargins = list(list(beta=beta1,sigma=s1), list(beta=beta2,sigma=s2), list(beta=beta3,sigma=s3))) mydmvdc <- dMvdc(y, myMvdc) Error in eval(expr, envir, enclos) : could not find function "ptobit" Thanks in advance, Elisa. [[alternative HTML version deleted]]

hi, first I want to say that I'm new here, and new with copula and R. That is the reason why I'm writing, if somebody can help me. I have to make an example of Copula. On internet I've found this forum and that copula can calculate with R. Can somebody help me with the thing how can I start and where can read about these stuffs. Thank to all who can help! -- View this message

...myCop.norm <- ellipCopula(family = "normal", dim = 3, param = 0.4) > myMvd <- mvdc(copula = myCop.norm, margins = c("norm", "norm","norm"), > paramMargins = list(list(mean = 0, sd = 2), list(mean = 0, sd = > 1),list(mean=0,sd=2))) persp(myMvd, dmvdc, xlim = c(-4, 4), ylim=c(-4, 4),main="Normal copula") I obtain the following message of error : "Error in eval index out of bound" Help me!!!! thanks http://r.789695.n4.nabble.com/file/n3566629/Cattura.jpg -- View this message in context: http://r.789695.n4.nabble.com...