DPTreePosteriorMulti function

D-P tree posterior updating from multiple copula observations.

D-P tree posterior updating from multiple copula observations.

DPTreePosteriorMulti returns the D-P tree posterior given input copula data.

DPTreePosteriorMulti(x, prior, w = 1)

Arguments

  • x: An array of dimension n by 2. Multiple copula data observations, with each row being a bivariate copula observation. All elements should be between 0 and 1.
  • prior: A list. Should be in same format as returned from DPTreePrior.
  • w: A positive number or an array of length n. Weight of data for posterior updating. Default 1.

Returns

A list. - a: An array containing the hyperparameters of D-P trees.

Examples

nsim = 10 rho = 0.9 data1 <- MASS::mvrnorm(n=nsim, mu=rep(0, 2), Sigma=matrix(c(1, rho, rho, 1), 2, 2)) data2 <- stats::pnorm(data1) DPTreePosteriorMulti(x=data2, prior=DPTreePrior(m=4, z=1))

References

Rdpack::insert_ref(key="DPtree",package="DPtree")

  • Maintainer: Shaoyang Ning
  • License: MIT + file LICENSE
  • Last published: 2018-06-19

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