varGuid: Variance-Guided Regression Improving Upon OLS and ANOVA

Fits variance-guided linear regression models that provide an alternative to ordinary least squares (OLS) for general linear-model design matrices, including ANOVA-style encodings. The methods use an iteratively reweighted least squares estimator or an iteratively reweighted lasso estimator and implement the global linear mean-variance model from the associated 2026 Statistics in Medicine article <doi:10.1002/sim.70632>. Under the assumptions in that paper, the estimator matches the homoscedastic baseline in population predictive quasi-risk when variance is constant and improves on it when the variance depends on covariates. The grouping-based nonlinear prediction extension from Section 3 is available in the development version on GitHub.

Version:	0.1.5
Depends:	R (≥ 3.5.0)
Imports:	glmnet, lmtest, sandwich
Published:	2026-06-18
DOI:	10.32614/CRAN.package.varGuid
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
Citation:	varGuid citation info
Materials:	README
CRAN checks:	varGuid results

Documentation:

Reference manual:

varGuid.html , varGuid.pdf

Downloads:

Package source:	varGuid_0.1.5.tar.gz
Windows binaries:	r-devel: varGuid_0.1.5.zip, r-release: varGuid_0.1.5.zip, r-oldrel: varGuid_0.1.5.zip
macOS binaries:	r-release (arm64): varGuid_0.1.5.tgz, r-oldrel (arm64): varGuid_0.1.5.tgz, r-release (x86_64): varGuid_0.1.5.tgz, r-oldrel (x86_64): varGuid_0.1.5.tgz
Old sources:	varGuid archive

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