SoftBart
Implements the SoftBart Algorithm
Implements the SoftBart model of described by Linero and Yang (2018) <doi:10.1111/rssb.12293>, with the optional use of a sparsity-inducing prior to allow for variable selection. For usability, the package maintains the same style as the 'BayesTree' package.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.3 |
rolling linux/jammy R-4.5 | SoftBart_1.0.3.tar.gz |
848.8 KiB |
1.0.3 |
rolling linux/noble R-4.5 | SoftBart_1.0.3.tar.gz |
852.3 KiB |
1.0.3 |
rolling source/ R- | SoftBart_1.0.3.tar.gz |
1.1 MiB |
1.0.3 |
latest linux/jammy R-4.5 | SoftBart_1.0.3.tar.gz |
848.8 KiB |
1.0.3 |
latest linux/noble R-4.5 | SoftBart_1.0.3.tar.gz |
852.3 KiB |
1.0.3 |
latest source/ R- | SoftBart_1.0.3.tar.gz |
1.1 MiB |
1.0.3 |
2026-04-26 source/ R- | SoftBart_1.0.3.tar.gz |
1.1 MiB |
1.0.3 |
2026-04-23 source/ R- | SoftBart_1.0.3.tar.gz |
1.1 MiB |
1.0.3 |
2026-04-09 windows/windows R-4.5 | SoftBart_1.0.3.zip |
1.1 MiB |
1.0.1 |
2025-04-20 source/ R- | SoftBart_1.0.1.tar.gz |
1.1 MiB |