Bayesian Functional Linear Regression with Sparse Step Functions R package bliss version 1.1.3 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>. Software Depends: R (>= 3.5.0) Imports: Rcpp, MASS, ggplot2, RcppArmadillo LinkingTo: Rcpp, RcppArmadillo, RcppProgress Suggests: rmarkdown, knitr, RColorBrewer Paul-Marie Grollemund <paul_marie.grollemund@uca.fr> Comprehensive R Archive Network (CRAN) Paul-Marie Grollemund [aut, cre], Isabelle Sanchez [ctr], Meili Baragatti [ctr] GPL-3 2026-07-20 application/tgz https://CRAN.R-project.org/package=bliss doi:10.32614/CRAN.package.bliss