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mixsqp  

Sequential Quadratic Programming for Fast Maximum-Likelihood Estimation of Mixture Proportions
View on CRAN: Click here


Download and install mixsqp package within the R console
Install from CRAN:
install.packages("mixsqp")

Install from Github:
library("remotes")
install_github("cran/mixsqp")

Install by package version:
library("remotes")
install_version("mixsqp", "0.3-54")



Attach the package and use:
library("mixsqp")
Maintained by
Peter Carbonetto
[Scholar Profile | Author Map]
First Published: 2018-11-14
Latest Update: 2022-11-16
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) .
How to cite:
Peter Carbonetto (2018). mixsqp: Sequential Quadratic Programming for Fast Maximum-Likelihood Estimation of Mixture Proportions. R package version 0.3-54, https://cran.r-project.org/web/packages/mixsqp. Accessed 11 Apr. 2025.
Previous versions and publish date:
0.1-79 (2018-11-14 16:10), 0.1-97 (2019-02-18 10:40), 0.2-2 (2019-10-16 23:20), 0.3-17 (2020-01-29 10:50), 0.3-43 (2020-05-14 16:20), 0.3-48 (2022-11-16 20:20)
Other packages that cited mixsqp R package
View mixsqp citation profile
Other R packages that mixsqp depends, imports, suggests or enhances
Complete documentation for mixsqp
Functions, R codes and Examples using the mixsqp R package
Some associated functions: mixobjective . mixsqp-package . mixsqp . simulatemixdata . tacks . 
Some associated R codes: RcppExports.R . datasim.R . misc.R . mixsqp-package.R . mixsqp.R . objective.R . tacks.R . tsvd.R . zzz.R .  Full mixsqp package functions and examples
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