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.
- Version1.1.1
- R version≥ 3.5.0
- LicenseGPL-3
- Needs compilation?Yes
- bliss citation info
- Last release07/17/2024
Documentation
Team
Paul-Marie Grollemund
Isabelle Sanchez
Show author detailsRolesctrMeili Baragatti
Show author detailsRolesctr
Insights
Last 30 days
This package has been downloaded 305 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 8 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 4,509 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was May 15, 2024 with 62 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports4 packages
- Suggests3 packages
- Linking To3 packages