# r-mixsqp

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.

**Versions:**0.3-54**Website:**https://github.com/stephenslab/mixsqp**Licenses:**Expat**Package source:**gnu/packages/cran.scm**Builds:**See build status**Issues:**See known issues

## Installation

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.