| Name : R-mixsqp
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| Version : 0.3.54
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : 1.16
| Date : 2024-08-29 00:11:44
|
| Group : Development/Libraries/Other
| Source RPM : R-mixsqp-0.3.54-1.16.src.rpm
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| Size : 0.34 MB
| |
| Packager : (none)
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| Summary : Sequential Quadratic Programming for Fast Maximum-Likelihood Estimation of Mixture Proportions
|
Description :
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>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/x86_64 |
