VariableSelection
Select Variables for Linear Models
Provides variable selection for linear models and generalized linear models using Bayesian information criterion (BIC) and model posterior probability (MPP). Given a set of candidate predictors, it evaluates candidate models and returns model-level summaries (BIC and MPP) and predictor-level posterior inclusion probabilities (PIP). For more details see Xu, S., Ferreira, M. A., & Tegge, A. N. (2025) <doi:10.48550/arXiv.2510.02628>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.0 |
rolling linux/jammy R-4.5 | VariableSelection_1.0.0.tar.gz |
109.9 KiB |
1.0.0 |
rolling linux/noble R-4.5 | VariableSelection_1.0.0.tar.gz |
109.8 KiB |
1.0.0 |
rolling source/ R- | VariableSelection_1.0.0.tar.gz |
74.1 KiB |
1.0.0 |
latest linux/jammy R-4.5 | VariableSelection_1.0.0.tar.gz |
109.9 KiB |
1.0.0 |
latest linux/noble R-4.5 | VariableSelection_1.0.0.tar.gz |
109.8 KiB |
1.0.0 |
latest source/ R- | VariableSelection_1.0.0.tar.gz |
74.1 KiB |
1.0.0 |
2026-04-26 source/ R- | VariableSelection_1.0.0.tar.gz |
74.1 KiB |
1.0.0 |
2026-04-23 source/ R- | VariableSelection_1.0.0.tar.gz |
74.1 KiB |
1.0.0 |
2026-04-09 windows/windows R-4.5 | VariableSelection_1.0.0.zip |
114.7 KiB |