Provides optimization algorithms based on sequential quadratic programming (SQP) for maximum likelihood estimation of the mixture proportions in a finite mixture model where the component densities are known. The algorithms are expected to obtain solutions that are at least as accurate as the stateoftheart MOSEK interiorpoint solver (called by function "KWDual" in the 'REBayes' package), and they are expected to arrive at solutions more quickly in large data sets. The algorithms are described in Y. Kim, P. Carbonetto, M. Stephens & M. Anitescu (2018) <arXiv:1806.01412>.
Package details 


Maintainer  
License  MIT + file LICENSE 
Version  0.1102 
URL  https://github.com/stephenslab/mixsqp 
Package repository  View on GitHub 
Installation 
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