I have a concrete statistical question:
I have a sample of an univariate mixture of an unknown number (k) of normal distributions, each time with an unknown mean `m_i' and a standard deviation `k * m_i', where k is known factor constant for all the normal distributions. (The `i' is a subscript.)
Is there a function in R that can estimate the number of normal distributions k and the means `m_i' for the different normal distributions from a sample? Or evt. a function that can estimate the `m_i', when the number of distributions `k' is known?
So far I only found a package, called `normix'. But at first sight it only provides methods to sample from such distributions and to estimate the densities; but not to fit such a distribution.
Can someone indicate where I can find an elegant solution?
Thank you in advance
Joke Allemeersch
Katholieke universiteit Leuven. Belgium.
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