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mixsqp-package

mixsqp: Sequential Quadratic Programming for Fast Maximum-Likelihood Estimation of Mixture Proportions


Description

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. To learn more, visit https://github.com/stephenslab/mixsqp, and see the help for function mixsqp.


mixsqp

Sequential Quadratic Programming for Fast Maximum-Likelihood Estimation of Mixture Proportions

v0.3-43
MIT + file LICENSE
Authors
Youngseok Kim [aut], Peter Carbonetto [aut, cre], Mihai Anitescu [aut], Matthew Stephens [aut], Jason Willwerscheid [ctb], Jean Morrison [ctb]
Initial release
2020-05-14

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