Last data update: 2014.03.03

R: The Multiplicative Multivariate distribution, and the...
MM-packageR Documentation

The Multiplicative Multivariate distribution, and the Multivariate Multiplicative Binomial Distribution

Description

Two generalizations of the Multiplicative Binomial distribution of Altham (1978).

Details

Package: MM
Type: Package
Version: 1.0
Date: 2012-02-29
License: GPL
LazyLoad: yes

Author(s)

Robin K. S. Hankin and P. M. E. Altham

Maintainer: hankin.robin@gmail.com

References

P. M. E. Altham 1978. “Two Generalizations of the Binomial Distribution”. Applied Statistics 27:162–167

P. M. E. Altham and Robin K. S. Hankin 2012. “Multivariate Generalizations of the Multiplicative Binomial Distribution: Introducing the MM Package”, Journal of Statistical Software, 46(12), 1-23. http://www.jstatsoft.org/v46/i12/

Examples

data(voting)
Lindsey(voting, voting_tally)

jj <- paras(3)
rMM(10,4,jj)

Results


R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(MM)
Loading required package: magic
Loading required package: abind
Loading required package: partitions
Loading required package: emulator
Loading required package: mvtnorm
Loading required package: Oarray
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/MM/MM-package.Rd_%03d_medium.png", width=480, height=480)
> ### Name: MM-package
> ### Title: The Multiplicative Multivariate distribution, and the
> ###   Multivariate Multiplicative Binomial Distribution
> ### Aliases: MM-package
> 
> ### ** Examples
> 
> data(voting)
> Lindsey(voting, voting_tally)
$p
      Lib       Con       Lab 
0.3669479 0.3151486 0.3179035 

$theta
    Lib       Con       Lab
Lib  NA 0.6735134 0.4825882
Con  NA        NA 0.6515272
Lab  NA        NA        NA

> 
> jj <- paras(3)
> rMM(10,4,jj)
      [,1] [,2] [,3]
 [1,]    1    2    1
 [2,]    2    1    1
 [3,]    0    2    2
 [4,]    1    0    3
 [5,]    2    0    2
 [6,]    1    3    0
 [7,]    0    2    2
 [8,]    1    0    3
 [9,]    2    0    2
[10,]    1    1    2
> 
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>