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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.4 |
rolling linux/jammy R-4.5 | varGuid_0.1.4.tar.gz |
86.5 KiB |
0.1.4 |
rolling linux/noble R-4.5 | varGuid_0.1.4.tar.gz |
86.5 KiB |
0.1.4 |
rolling source/ R- | varGuid_0.1.4.tar.gz |
66.3 KiB |
0.1.4 |
latest linux/jammy R-4.5 | varGuid_0.1.4.tar.gz |
86.5 KiB |
0.1.4 |
latest linux/noble R-4.5 | varGuid_0.1.4.tar.gz |
86.5 KiB |
0.1.4 |
latest source/ R- | varGuid_0.1.4.tar.gz |
66.3 KiB |
0.1.4 |
2026-04-23 source/ R- | varGuid_0.1.4.tar.gz |
0 B |