# [R] fitting a mixture of distributions with optim and max log likelihood ?

ben@zoo.ufl.edu ben at zoo.ufl.edu
Tue Aug 28 23:20:18 CEST 2001

```  What you're doing seems reasonable, but this is a hard problem in
general.  My first advice would be to check out MASS (Modern Applied
Statistics with S-PLUS), 3d ed., pp. 261-266; this gives methods for doing
the problem in S-PLUS, and several references to the literature on mixture
models.  Many of the functions used in MASS to solve this problem are
specific to S-PLUS, but there are equivalents in R (deriv3 <-> D, etc.).
The online R complements at

Ben Bolker

On Tue, 28 Aug 2001, Bob Sandefur wrote:

> hi
>  Suppose I have a mixture of 2 distributions generated by
>
> rtwonormals <- function(npnt,m1,s1,m2,s2,p2){
>  rv<-vector(npnt,mode="numeric")
>  for( i in seq(1:npnt)){
>   if(runif(1,0,1)<=p2){
>    rv[i]<-rnorm(1,m2,s2)
>    }
>   else{
>    rv[i]<-rnorm(1,m1,s1)
>   }
>  }
>  return(rv)
>  }
> x <- rtwonormals(50000,0,100,500,500,0.05)
>
> #and I try to fit these with  (based on thread:  [R] Estimating Weibull Distribution Parameters - very basic question)
>
> loglike<-function(p) -2*sum(log((1-p[5])*dnorm(x,p[1],p[2])+p[5]*dnorm(x,p[3],p[4])))
> optim(c(-20,150,400,600,.035),loglike)
> optim(c(20,70,600,400,.095),loglike)
> optim(c(0,100,500,500,.05),loglike)
> optim(c(-20,150,400,600,.035),loglike)
>
> # three different starting values (1 and 4 the same to check reproducablity) I get:
>
> Version 1.3.0  (2001-06-22) on windoze XP
>
> > optim(c(-20,150,400,600,.035),loglike)
> \$par
> [1]   1.28597210 100.53443070 550.06070497 615.06936388   0.04563778
> \$value
> [1] 622843.1
> \$counts
>      493       NA
> \$convergence
> [1] 0
> \$message
> NULL
> There were 22 warnings (use warnings() to see them)
>
> > optim(c(20,70,600,400,.095),loglike)
> \$par
> [1]   0.62742812 100.15891023 533.25825184 514.63882147   0.04670099
> \$value
> [1] 622692.7
> \$couns
>      501       NA
> \$convergence
> [1] 1    < OPPS
> \$message
> NULL
> There were 22 warnings (use warnings() to see them)
>
> > optim(c(0,100,500,500,.05),loglike)
> \$par
> [1]   0.56254342 100.03881574 499.47434961 505.59785487   0.04805347
> \$value
> [1] 622685
> \$counts
>      109       NA
> \$convergence
> [1] 0
> \$message
> NULL
> There were 21 warnings (use warnings() to see them)
>
> > optim(c(-20,150,400,600,.035),loglike)
> \$par
> [1]   1.28597210 100.53443070 550.06070497 615.06936388   0.04563778
> \$value
> [1] 622843.1
> \$counts
>      493       NA
> \$convergence
> [1] 0
> \$message
> NULL
> There were 22 warnings (use warnings() to see them)
>
>
> Questions:
> 1) Did I mess up anything in the formulae?
> 2) Any suggestions for converging to the same value?
> 3) Any suggestions for other methods to get means, stddevs and proportions of the mixture of distributions?
>
> Thanx
>
> Robert (Bob) L Sandefur
> Principal Geostatistician
> Pincock Allen & Holt (A Hart Crowser Company)
>  International Minerals Consultants
>  274 Union Suite 200
>  Lakewood CO 80228
>  USA
>  303 914-4467  v
>  303 987-8907 f
> rls at pincock.com
>
>
> ~
> ~
>
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--
318 Carr Hall                                bolker at zoo.ufl.edu
Zoology Department, University of Florida    http://www.zoo.ufl.edu/bolker
Box 118525                                   (ph)  352-392-5697
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