Other packages > Find by keyword >

mixedLSR  

Mixed, Low-Rank, and Sparse Multivariate Regression on High-Dimensional Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("mixedLSR", "0.1.0")



Attach the package and use:
library("mixedLSR")
Maintained by
Alexander White
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-11-04
Latest Update: 2022-11-04
Description:
Mixed, low-rank, and sparse multivariate regression ('mixedLSR') provides tools for performing mixture regression when the coefficient matrix is low-rank and sparse. 'mixedLSR' allows subgroup identification by alternating optimization with simulated annealing to encourage global optimum convergence. This method is data-adaptive, automatically performing parameter selection to identify low-rank substructures in the coefficient matrix.
How to cite:
Alexander White (2022). mixedLSR: Mixed, Low-Rank, and Sparse Multivariate Regression on High-Dimensional Data. R package version 0.1.0, https://cran.r-project.org/web/packages/mixedLSR
Previous versions and publish date:
No previous versions
Other packages that cited mixedLSR R package
View mixedLSR citation profile
Other R packages that mixedLSR depends, imports, suggests or enhances
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

rdbnomics  
Download DBnomics Data
R access to hundreds of millions data series from DBnomics API (). ...
Download / Learn more Package Citations See dependency  
critpath  
Setting the Critical Path in Project Management
Solving the problem of project management using CPM (Critical Path Method), PERT (Program Evaluation ...
Download / Learn more Package Citations See dependency  
steepness  
Testing Steepness of Dominance Hierarchies
The steepness package computes steepness as a property of dominance hierarchies. Steepness is define ...
Download / Learn more Package Citations See dependency  
ftaproxim  
Fault Tree Analysis Based on Proxel Simulation
Calculation and plotting of instantaneous unavailabilities of basic events along with the top event ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
mistral  
Methods in Structural Reliability
Various reliability analysis methods for rare event inference (computing failure probability and qua ...
Download / Learn more Package Citations See dependency  

22,114

R Packages

188,080

Dependencies

55,244

Author Associations

22,115

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net. Contact Us / Suggestions / Concerns