R: Pairwise bivariate conditional predictive densities

NMixPredCondDensJoint2 {mixAK}

R Documentation

Pairwise bivariate conditional predictive densities

Description

This function serves as an inference tool for the MCMC output obtained using the function NMixMCMC. It computes (posterior predictive) estimates of pairwise bivariate conditional densities (given one margin).

Usage

NMixPredCondDensJoint2(x, ...)

## Default S3 method:
NMixPredCondDensJoint2(x, icond, scale, K, w, mu, Li, Krandom=FALSE, ...)

## S3 method for class 'NMixMCMC'
NMixPredCondDensJoint2(x, icond, grid, lgrid=50, scaled=FALSE, ...)

## S3 method for class 'GLMM_MCMC'
NMixPredCondDensJoint2(x, icond, grid, lgrid=50, scaled=FALSE, ...)

Arguments

`x`	an object of class `NMixMCMC` for `NMixPredCondDensJoint2.NMixMCMC` function. An object of class `GLMM_MCMC` for `NMixPredCondDensJoint2.GLMM_MCMC` function. A list with the grid values (see below) for `NMixPredCondDensJoint2.default` function.
`icond`	index of the margin by which we want to condition
`scale`	a two component list giving the `shift` and the `scale`. If not given, shift is equal to zero and scale is equal to one.
`K`	either a number (when `Krandom=FALSE`) or a numeric vector with the chain for the number of mixture components.
`w`	a numeric vector with the chain for the mixture weights.
`mu`	a numeric vector with the chain for the mixture means.
`Li`	a numeric vector with the chain for the mixture inverse variances (lower triangles only).
`Krandom`	a logical value which indicates whether the number of mixture components changes from one iteration to another.
`grid`	a list with the grid values for each margin in which the density should be evaluated. The value of `grid[[icond]]` determines the values by which we condition. If `grid` is not specified, it is created automatically using the information from the posterior summary statistics stored in `x`.
`lgrid`	a length of the grid used to create the `grid` if that is not specified.
`scaled`	if `TRUE`, the density of shifted and scaled data is summarized. The shift and scale vector are taken from the `scale` component of the object `x`.
`...`	optional additional arguments.

Value

An object of class NMixPredCondDensJoint2 which has the following components:

`x`	a list with the grid values for each margin. The components of the list are named `x1`, ... or take names from `grid` argument.
`icond`	index of the margin by which we condition.
`dens`	a list with the computed conditional densities for each value of `x[[icond]]`. Each `dens[[j]]` is again a list with conditional densities for each pair of margins given margin `icond` equal to `x[[icond]][j]`. The value of `dens[[j]][[i-k]]` gives values of conditional density of the (i,k)-th margins given margin `icond` equal to `x[[icond]][j]`.

There is also a plot method implemented for the resulting object.

Author(s)