StabilizedRegression
Stabilizing Regression and Variable Selection
Contains an implementation of 'StabilizedRegression', a regression framework for heterogeneous data introduced in Pfister et al. (2021) <arXiv:1911.01850>. The procedure uses averaging to estimate a regression of a set of predictors X on a response variable Y by enforcing stability with respect to a given environment variable. The resulting regression leads to a variable selection procedure which allows to distinguish between stable and unstable predictors. The package further implements a visualization technique which illustrates the trade-off between stability and predictiveness of individual predictors.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1 |
rolling linux/jammy R-4.5 | StabilizedRegression_1.1.tar.gz |
129.9 KiB |
1.1 |
rolling linux/noble R-4.5 | StabilizedRegression_1.1.tar.gz |
129.9 KiB |
1.1 |
rolling source/ R- | StabilizedRegression_1.1.tar.gz |
16.9 KiB |
1.1 |
latest linux/jammy R-4.5 | StabilizedRegression_1.1.tar.gz |
129.9 KiB |
1.1 |
latest linux/noble R-4.5 | StabilizedRegression_1.1.tar.gz |
129.9 KiB |
1.1 |
latest source/ R- | StabilizedRegression_1.1.tar.gz |
16.9 KiB |
1.1 |
2026-04-26 source/ R- | StabilizedRegression_1.1.tar.gz |
16.9 KiB |
1.1 |
2026-04-23 source/ R- | StabilizedRegression_1.1.tar.gz |
16.9 KiB |
1.1 |
2026-04-09 windows/windows R-4.5 | StabilizedRegression_1.1.zip |
133.4 KiB |
1.1 |
2025-04-20 source/ R- | StabilizedRegression_1.1.tar.gz |
16.9 KiB |