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Package: r-mixsqp @ 0.3-43

Synopsis

Sequential quadratic programming for maximum-likelihood estimation

Description

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.

Home page
https://github.com/stephenslab/mixsqp
Location
gnu/packages/cran.scm (line: 8838, column: 2)
License

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