varGuid: Variance-Guided Regression for Heteroscedastic Linear Models

Fits variance-guided linear regression models for heteroscedastic data using an iteratively reweighted least squares estimator or an iteratively reweighted lasso estimator. This CRAN release focuses on the global linear mean-variance model in Section 2 of the accompanying preprint <doi:10.36227/techrxiv.177004877.75352102/v1>. The grouping-based nonlinear prediction extension from Section 3 is available in the development version on GitHub.

Version: 0.1.4
Depends: R (≥ 3.5.0)
Imports: glmnet, lmtest, sandwich
Published: 2026-05-29
DOI: 10.32614/CRAN.package.varGuid (may not be active yet)
Author: Sibei Liu [aut], Min Lu [aut, cre]
Maintainer: Min Lu <luminwin at gmail.com>
BugReports: https://github.com/luminwin/varGuid/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/luminwin/varGuid
NeedsCompilation: no
Materials: README
CRAN checks: varGuid results

Documentation:

Reference manual: varGuid.html , varGuid.pdf

Downloads:

Package source: varGuid_0.1.4.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): varGuid_0.1.4.tgz, r-oldrel (arm64): varGuid_0.1.4.tgz, r-release (x86_64): varGuid_0.1.4.tgz, r-oldrel (x86_64): varGuid_0.1.4.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=varGuid to link to this page.