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
Install the latest version of
r-mixsqp as follows:
guix install r-mixsqp
Or install a particular version:
guix install email@example.com
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.