ddirimix.grid1D: Univariate projection or marginalization of a Dirichlet...

Description Usage Arguments Value

View source: R/ddirimix.grid1D.r

Description

Plots a univariate Dirichlet mixture (in other words, a Beta mixture) angular density for extreme bi-variate data.

Usage

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  ddirimix.grid1D(par = get("dm.expar.D2k4"),
    wei = par$wei, Mu = par$Mu, lnu = par$lnu,
    npoints = 30, eps = 10^(-3), coord = c(1, 2),
    marginal = TRUE, invisible = TRUE, displ = TRUE,
    add = FALSE, ...)

Arguments

coord

A vector of size 2: the indices of the coordinates upon which the marginalization or projection is to be done if the dimension of the sample space is greater than two.

marginal

logical. If TRUE, the angular density corresponds to the marginal intensity measure of the extreme Poisson process, over coordinates coord. Otherwise, it is only the projection of the full dimensional angular measure (hence the moments constraints is not satisfied anymore).

npoints

number of points on the 1D discretization grid.

eps

the minimum value ( = 1- the maximum value) of the grid points.

invisible

Logical: should the result be returned as invisible ?

displ

Logical: should a plot be issued ?

add

Logical: should the density be added to the currently active plot ?

...

Additional arguments to be passed to plot

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.

Value

The discretized density on [eps, 1-eps] (included in [0,1])


lbelzile/BMAmevt documentation built on May 17, 2018, 12:16 p.m.