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. Accessed 06 Aug. 2026.
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
Complete documentation for mixedLSR
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
TMDb  
Access to TMDb API
Provides an R-interface to the TMDb API (see TMDb API on < ...
Download / Learn more Package Citations See dependency  
SAMBA  
Selection and Misclassification Bias Adjustment for Logistic Regression Models
Health research using data from electronic health records (EHR) has gained popularity, but miscla ...
Download / Learn more Package Citations See dependency  
RRedshiftSQL  
R Interface to the 'Redshift' Database
Superclasses 'PostgreSQL' connection to help enable full 'dplyr' functionality on 'Redshift'. ...
Download / Learn more Package Citations See dependency  
lsmeans  
Least-Squares Means
Obtain least-squares means for linear, generalized linear, and mixed models. Compute contrasts or l ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

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