bliss
Bayesian Functional Linear Regression with Sparse Step Functions
A method for the Bayesian functional linear regression model (scalar-on-function), including two estimators of the coefficient function and an estimator of its support. A representation of the posterior distribution is also available. Grollemund P-M., Abraham C., Baragatti M., Pudlo P. (2019) <doi:10.1214/18-BA1095>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.1 |
rolling linux/jammy R-4.5 | bliss_1.1.1.tar.gz |
3.4 MiB |
1.1.1 |
rolling linux/noble R-4.5 | bliss_1.1.1.tar.gz |
3.4 MiB |
1.1.1 |
rolling source/ R- | bliss_1.1.1.tar.gz |
2.8 MiB |
1.1.1 |
latest linux/jammy R-4.5 | bliss_1.1.1.tar.gz |
3.4 MiB |
1.1.1 |
latest linux/noble R-4.5 | bliss_1.1.1.tar.gz |
3.4 MiB |
1.1.1 |
latest source/ R- | bliss_1.1.1.tar.gz |
2.8 MiB |
1.1.1 |
2026-04-26 source/ R- | bliss_1.1.1.tar.gz |
2.8 MiB |
1.1.1 |
2026-04-23 source/ R- | bliss_1.1.1.tar.gz |
2.8 MiB |
1.1.1 |
2026-04-09 windows/windows R-4.5 | bliss_1.1.1.zip |
3.7 MiB |
1.1.1 |
2025-04-20 source/ R- | bliss_1.1.1.tar.gz |
2.8 MiB |