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 et. al. (2019) <doi:10.1214/18-BA1095>.

Package details

AuthorPaul-Marie Grollemund [aut, cre], Isabelle Sanchez [ctr], Meili Baragatti [ctr]
MaintainerPaul-Marie Grollemund <[email protected]>
LicenseGPL-3
Version1.0.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("bliss")

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bliss documentation built on May 1, 2019, 9:15 p.m.