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Constrained L1-Minimization for Inverse (Covariance) Matrix Estimation

Installation

About

A robust constrained L1 minimization method for estimating a large sparse inverse covariance matrix (aka precision matrix), and recovering its support for building graphical models. The computation uses linear programming. The method was published in TT Cai, W Liu, X Luo (2011) doi:10.1198/jasa.2011.tm10155.

Key Metrics

Version 0.5.0
Published 2022-06-22 681 days ago
Needs compilation? no
License GPL-2
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Maintainer

Maintainer

Xi (Rossi) Luo

xi.rossi.luo@gmail.com

Authors

T. Tony Cai
Weidong Liu
Xi

(Rossi)

Luo

Material

README
ChangeLog
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

clime archive

Depends

lpSolve

Reverse Depends

DensParcorr
growthrate

Reverse Imports

HDtest
HDTSA

Reverse Suggests

lorec