pmgrollemund/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>.
Getting started
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Package details |
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| Author | Paul-Marie Grollemund [aut, cre], Isabelle Sanchez [ctr], Meili Baragatti [ctr] |
| Maintainer | Paul-Marie Grollemund <paul_marie.grollemund@uca.fr> |
| License | GPL-3 |
| Version | 1.1.1 |
| URL | https://github.com/pmgrollemund/bliss |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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