spexvb
Parameter Expanded Variational Bayes for High-Dimensional Linear Regression
Implements a parameter expanded variational Bayes algorithm for linear regression models with high-dimensional variable selection. The methodology utilizes spike-and-slab priors to perform simultaneous estimation and selection. Details can be found in Olejua et al. (2024) <doi:10.21203/rs.3.rs-7208847/v1>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | spexvb_0.1.0.tar.gz |
146.1 KiB |
0.1.0 |
rolling linux/noble R-4.5 | spexvb_0.1.0.tar.gz |
149.8 KiB |
0.1.0 |
rolling source/ R- | spexvb_0.1.0.tar.gz |
40.8 KiB |
0.1.0 |
latest linux/jammy R-4.5 | spexvb_0.1.0.tar.gz |
146.1 KiB |
0.1.0 |
latest linux/noble R-4.5 | spexvb_0.1.0.tar.gz |
149.8 KiB |
0.1.0 |
latest source/ R- | spexvb_0.1.0.tar.gz |
40.8 KiB |
0.1.0 |
2026-04-26 source/ R- | spexvb_0.1.0.tar.gz |
40.8 KiB |
0.1.0 |
2026-04-23 source/ R- | spexvb_0.1.0.tar.gz |
40.8 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | spexvb_0.1.0.zip |
468.4 KiB |