R: Various Plots Pertaining to Mixture Model Output Using MCMC...

plot.mixMCMC {mixtools} | R Documentation

## Various Plots Pertaining to Mixture Model Output Using MCMC Methods

### Description

Takes an object of class `mixMCMC` and returns various graphical output for select mixture models.

### Usage

    ## S3 method for class 'mixMCMC'
    plot(x, trace.plots = TRUE,
         summary.plots = FALSE, burnin = 2000, ...)

### Arguments

`x` | An object of class `mixMCMC`.
`trace.plots` | If TRUE, trace plots of the various parameters estimated by the MCMC methods is given.
`summary.plots` | Graphics pertaining to certain mixture models. The details are given below.
`burnin` | The values 1 to `burnin` are dropped when producing the plots in `summary.plots`.
`...` | Graphical parameters passed to `regcr` function.

### Value

`plot.mixMCMC` returns trace plots of the various parameters estimated by the MCMC methods for all objects of class `mixMCMC`. In addition, other plots may be produced for the following k-component mixture model functions:

`regmixMH` | Credible bands for the regression lines in a mixture of linear regressions. See `regcr` for more details.

### See Also

`regcr`

### Examples

    ## M-H algorithm for NOdata with acceptance rate about 40%.

    data(NOdata)
    attach(NOdata)
    set.seed(100)
    beta <- matrix(c(1.3, -0.1, 0.6, 0.1), 2, 2)
    sigma <- c(.02, .05)
    MH.out <- regmixMH(Equivalence, NO, beta = beta, s = sigma,
                       sampsize = 2500, omega = .0013)
    plot(MH.out, summary.plots = TRUE, burnin = 2450,
         alpha = 0.01)

[Package mixtools version 1.2.0 Index]