summary.bmixgamma: Summary function for 'S3' class '"bmixgamma"'

In bmixture: Bayesian Estimation for Finite Mixture of Distributions

Description

Provides a summary of the results for function bmixgamma.

Usage

## S3 method for class 'bmixgamma'
summary( object, ... )

Arguments

object	An object of S3 class "bmixgamma", from function bmixgamma.
...	System reserved (no specific usage).

Author(s)

Reza Mohammadi [e-mail]

See Also

bmixgamma

Examples

## Not run: 
# simulating data from mixture of gamma with two components
n      = 500 # number of observations
weight = c( 0.6, 0.4 )
alpha  = c( 12 , 1   )
beta   = c( 3  , 2   )

data <- rmixgamma( n = n, weight = weight, alpha = alpha, beta = beta )
  
# plot for simulation data    
hist( data, prob = TRUE, nclass = 50, col = "gray" )
  
x     = seq( 0, 10, 0.05 )
truth = dmixgamma( x, weight, alpha, beta )
      
lines( x, truth, lwd = 2 )
  
# Runing bdmcmc algorithm for the above simulation data set      
bmixgamma.obj <- bmixgamma( data, iter = 500 )
    
summary( bmixgamma.obj )

## End(Not run)

Example output

Loading required package: BDgraph
Loading required package: Matrix
Loading required package: igraph

Attaching package: 'igraph'

The following objects are masked from 'package:stats':

    decompose, spectrum

The following object is masked from 'package:base':

    union


Attaching package: 'BDgraph'

The following object is masked from 'package:igraph':

    compare

 Iteration  100                 
 Iteration  200                 
 Iteration  300                 
 Iteration  400                 
 Iteration  500                 
 500 iteration done.                                

bmixture documentation built on May 11, 2021, 5:08 p.m.