Package: bliss
Title: Bayesian Functional Linear Regression with Sparse Step Functions
Version: 1.1.1
Authors@R: c(
  person("Paul-Marie", "Grollemund", email = "paul_marie.grollemund@uca.fr", role = c("aut", "cre")),
  person("Isabelle", "Sanchez", email = "isabelle.sanchez@inra.fr", role = c("ctr")),
  person("Meili", "Baragatti", email = "meili.baragatti@supagro.fr", role = c("ctr")))
Author: Paul-Marie Grollemund [aut, cre], Isabelle Sanchez [ctr], Meili
        Baragatti [ctr]
Maintainer: Paul-Marie Grollemund <paul_marie.grollemund@uca.fr>
Description: 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>.
License: GPL-3
Depends: R (>= 3.5.0)
LinkingTo: Rcpp, RcppArmadillo, RcppProgress
Encoding: UTF-8
LazyData: TRUE
URL: https://github.com/pmgrollemund/bliss
BugReports: https://github.com/pmgrollemund/bliss/issues
Imports: Rcpp, MASS, ggplot2
Suggests: rmarkdown, knitr, RColorBrewer
RoxygenNote: 7.3.1
VignetteBuilder: knitr
Repository: https://pmgrollemund.r-universe.dev
Date/Publication: 2024-07-11 13:34:40 UTC
RemoteUrl: https://github.com/pmgrollemund/bliss
RemoteRef: HEAD
RemoteSha: 3ea5ce3cec60a64411403f70659b6f5d3f2e2b54
NeedsCompilation: yes
Packaged: 2026-06-21 10:46:13 UTC; root