Provides optimization algorithms based on sequential quadratic programming for maximum likelihood estimation of the mixture proportions in a finite mixture model where the component densities are known. The SQP algorithm is expected to obtain solutions that are at least as accurate as the state-of-the-art MOSEK interior-point solver (called by function "KWDual" in the 'REBayes' package), and is expected to compute these solutions much more quickly in large data sets.
|License||MIT + file LICENSE|
|Package repository||View on GitHub|
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