Package: varGuid 0.1.4

Min Lu

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.

Authors:Sibei Liu [aut], Min Lu [aut, cre]

varGuid_0.1.4.tar.gz
varGuid_0.1.4.tar.gz(r-4.7-any)varGuid_0.1.4.tar.gz(r-4.6-any)
varGuid_0.1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
varGuid/json (API)

# Install 'varGuid' in R:
install.packages('varGuid', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/luminwin/varguid/issues

Datasets:
  • cobra2d - Data from the cobra2 Simulation

On CRAN:

Conda:

1.70 score 2 exports 13 dependencies

Last updated from:f9705dd710. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK145
source / vignettesOK188
linux-release-x86_64OK118
wasm-releaseOK101

Exports:lmvprd

Dependencies:codetoolsforeachglmnetiteratorslatticelmtestMatrixRcppRcppEigensandwichshapesurvivalzoo