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HSDiC  

Homogeneity and Sparsity Detection Incorporating Prior Constraint Information
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("HSDiC", "0.1")



Attach the package and use:
library("HSDiC")
Maintained by
Yaguang Li
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-10-19
Latest Update: 2018-10-19
Description:
We explore sparsity and homogeneity of regression coefficients incorporating prior constraint information. A general pairwise fusion approach is proposed to deal with the sparsity and homogeneity detection when combining prior convex constraints. We develop an modified alternating direction method of multipliers algorithm (ADMM) to obtain the estimators.
How to cite:
Yaguang Li (2018). HSDiC: Homogeneity and Sparsity Detection Incorporating Prior Constraint Information. R package version 0.1, https://cran.r-project.org/web/packages/HSDiC. Accessed 30 Jan. 2025.
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Complete documentation for HSDiC
Functions, R codes and Examples using the HSDiC R package
Some associated functions: HSDiC_ADMM . mBIC . thresh_est . 
Some associated R codes: HSDiC_ADMM.R . mBIC.R . threshold_fun.R .  Full HSDiC package functions and examples
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