Other packages > Find by keyword >

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]
All associated links for this package
First Published: 2018-11-14
Latest Update: 2023-12-20
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 29 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:31), 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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

GEVcdn  
GEV Conditional Density Estimation Network
Implements a flexible nonlinear modelling framework for nonstationary generalized extreme value anal ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
fastRG  
Sample Generalized Random Dot Product Graphs in Linear Time
Samples generalized random product graphs, a generalization of a broad class of network models. Giv ...
Download / Learn more Package Citations See dependency  
personalized2part  
Two-Part Estimation of Treatment Rules for Semi-Continuous Data
Implements the methodology of Huling, Smith, and Chen (2020) , w ...
Download / Learn more Package Citations See dependency  
binovisualfields  
Depth-Dependent Binocular Visual Fields Simulation
Simulation and visualization depth-dependent integrated visual fields. Visual fields are measured mo ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,219

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA