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 (2012) <arXiv:1806.01412>.
Package details 


Author  Youngseok Kim [aut], Peter Carbonetto [aut, cre], Mihai Anitescu [aut], Matthew Stephens [aut], Jason Willwerscheid [ctb], Jean Morrison [ctb] 
Maintainer  Peter Carbonetto <[email protected]> 
License  MIT + file LICENSE 
Version  0.197 
URL  https://github.com/stephenslab/mixsqp 
Package repository  View on CRAN 
Installation 
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