ddirimix.grid: Plots the Dirichlet mixture density on a discretization grid In lbelzile/BMAmevt: Multivariate Extremes: Bayesian Estimation of the Spectral Measure

Description

Only valid in the tri-variate case

Usage

 ```1 2 3 4``` ```ddirimix.grid(par = get("dm.expar.D3k3"), wei = par\$wei, Mu = par\$Mu, lnu = par\$lnu, npoints = 30, eps = 10^(-3), equi = TRUE, marginal = TRUE, coord = c(1, 2, 3), invisible = TRUE, displ = TRUE, ...) ```

Arguments

 `par` The parameter list for the Dirichlet mixture model. `wei` Optional. If present, overrides the value of `par\$wei`. `Mu` Optional. If present, overrides the value of `par\$Mu`. `lnu` Optional. If present, overrides the value of `par\$lnu`. `npoints` The number of grid nodes on the squared grid containing the desired triangle. `eps` Positive number: minimum distance from any node inside the simplex to the simplex boundary `equi` logical. Is the simplex represented as an equilateral triangle (if `TRUE`) or a right triangle (if `FALSE`) ? `marginal` logical. If `TRUE`, the angular density corresponds to the marginal intensity measure, over coordinates `coord`. Otherwise, it is only the projection of the full dimensional angular measure (hence the moments constraints is not satisfied anymore). `coord` A vector of size 3: the indices of the coordinates upon which the marginalization is to be done. `invisible` Logical: should the result be returned as invisible ? `displ` Logical: should a plot be issued ? `...` Additional arguments to be passed to `dgridplot`.

Value

The discretized density

lbelzile/BMAmevt documentation built on June 13, 2019, 12:43 p.m.