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r / packages / r-mixsqp

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>.

Type Size Name Uploaded Downloads Labels
conda 227.7 kB | linux-64/r-mixsqp-0.3_48-r43h884c59f_0.tar.bz2  1 year and 6 months ago 561 main
conda 232.8 kB | linux-64/r-mixsqp-0.3_43-r42h884c59f_0.tar.bz2  3 years and 1 month ago 160 main
conda 177.2 kB | win-64/r-mixsqp-0.1_97-r36h796a38f_0.tar.bz2  5 years and 4 months ago 79 main
conda 209.8 kB | osx-64/r-mixsqp-0.2_2-r36h466af19_0.tar.bz2  5 years and 4 months ago 21 main
conda 174.1 kB | linux-64/r-mixsqp-0.1_97-r36h29659fb_0.tar.bz2  5 years and 4 months ago 73 main

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