mixsqp-package: mixsqp: Sequential Quadratic Programming for Fast...
In stephenslab/mixsqp: Sequential Quadratic Programming for Fast Maximum-Likelihood Estimation of Mixture Proportions
mixsqp-package R Documentation
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.
stephenslab/mixsqp documentation built on Jan. 4, 2024, 1 a.m.
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| mixsqp-package | R Documentation |
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.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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