mixsqp

Provides an optimization method 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 algorithm is 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 when the number of samples is large and the number of mixture components is not too large. This implements the "mix-SQP" algorithm, with some improvements, described in Y. Kim, P. Carbonetto, M. Stephens & M. Anitescu (2020) doi:10.1080/10618600.2019.1689985.

Last 30 days

This package has been downloaded 5,237 times in the last 30 days. Impressive! The kind of number that makes colleagues ask, 'How did you do it?' The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 267 times.

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Last 365 days

This package has been downloaded 73,392 times in the last 365 days. The kind of number that gets mentioned in a keynote speech. Well done! The day with the most downloads was Sep 03, 2024 with 6,190 downloads.

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