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 26 Aug. 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

PCADSC  
Tools for Principal Component Analysis-Based Data Structure Comparisons
A suite of non-parametric, visual tools for assessing differences in data structures for two datase ...
Download / Learn more Package Citations See dependency  
RCytoGPS  
Using Cytogenetics Data in R
Defines classes and methods to process text-based cytogenetics using the CytoGPS web site, then imp ...
Download / Learn more Package Citations See dependency  
SelvarMix  
Regularization for Variable Selection in Model-Based Clustering and Discriminant Analysis
Performs a regularization approach to variable selection in themodel-based clustering and classifica ...
Download / Learn more Package Citations See dependency  
ncodeR  
Techniques for Automated Classifiers
A set of techniques that can be used to develop, validate, and implement automated classifiers. A po ...
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  
leafgl  
High-Performance 'WebGl' Rendering for Package 'leaflet'
Provides bindings to the 'Leaflet.glify' JavaScript library which extends the 'leaflet' JavaScript l ...
Download / Learn more Package Citations See dependency  

28,332

R Packages

239,283

Dependencies

75,113

Author Associations

28,333

Publication Badges

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