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Sequential quadratic programming for maximum-likelihood estimation

This package provides an optimization method 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 algorithm is expected to obtain solutions that are at least as accurate as the state-of-the-art MOSEK interior-point solver, and they are expected to arrive at solutions more quickly when the number of samples is large and the number of mixture components is not too large.


Install the latest version of r-mixsqp as follows:

guix install r-mixsqp

Or install a particular version:

guix install r-mixsqp@0.3-54

You can also install packages in augmented, pure or containerized environments for development or simply to try them out without polluting your user profile. See the guix shell documentation for more information.