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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. The algorithms are expected to obtain solutions that are at least as accurate as the state-of-the-art MOSEK interior-point solver (called by function "KWDual" in the 'REBayes' package), and they are expected to arrive at solutions more quickly in large data sets. The algorithms are described in Y. Kim, P. Carbonetto, M. Stephens & M. Anitescu (2012) <arXiv:1806.01412>.

copied from cf-staging / r-mixsqp

Installers

Info: This package contains files in non-standard labels.
  • linux-aarch64 v0.3_48
  • linux-64 v0.2_2
  • osx-64 v0.2_2
  • linux-ppc64le v0.3_48
  • win-64 v0.2_2

conda install

To install this package run one of the following:
conda install conda-forge::r-mixsqp
conda install conda-forge/label/cf202003::r-mixsqp

Description


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