Other packages > Find by keyword >

valse  

Variable Selection with Mixture of Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("valse", "0.1-0")



Attach the package and use:
library("valse")
Maintained by
Benjamin Auder
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-05-31
Latest Update: 2021-05-31
Description:
Two methods are implemented to cluster data with finite mixture regression models. Those procedures deal with high-dimensional covariates and responses through a variable selection procedure based on the Lasso estimator. A low-rank constraint could be added, computed for the Lasso-Rank procedure. A collection of models is constructed, varying the level of sparsity and the number of clusters, and a model is selected using a model selection criterion (slope heuristic, BIC or AIC). Details of the procedure are provided in "Model-based clustering for high-dimensional data. Application to functional data" by Emilie Devijver (2016) <doi:10.48550/arXiv.1409.1333>, published in Advances in Data Analysis and Clustering.
How to cite:
Benjamin Auder (2021). valse: Variable Selection with Mixture of Models. R package version 0.1-0, https://cran.r-project.org/web/packages/valse
Previous versions and publish date:
No previous versions
Other packages that cited valse R package
View valse citation profile
Other R packages that valse 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

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  
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  
rdbnomics  
Download DBnomics Data
R access to hundreds of millions data series from DBnomics API (). ...
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  
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  

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