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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