Dear Knowledgeable R Community Members,
 
 Please excuse my ignorance, I apologize in advance if this is an easy question, but I am a bit stumped and could use a little guidance.
 
 I have a finite mixture modeling problem -- for example, a 2-component Weibull mixture -- where the components have a large overlap, and 
 I am trying to adapt the "mclust" package which concern to normal mixture to solve this problem.  
 
 I need to decompose that mixture into its 2 components which will need to be plotted.
 
 What I don't know how to do is:
 
 (1) restrict the number of components to 2 .
 
 (2) obtain and plot a component Weibull density 
 
 (Note: my real dataset will not have peaks this well separated, but I needed to find a small example.)

Any information you might be able to shed on this would be very much appreciated With appreciation for your help.

Thank you in advance

Cordially;
 Abdoul Aziz Junior NDOYE
 GREQAM Marseille.



      
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