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, RcppArmadillo
Suggests: rmarkdown, knitr, RColorBrewer
RoxygenNote: 7.3.1
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-07-17 07:26:14 UTC; pmgrolle
Repository: CRAN
Date/Publication: 2024-07-17 12:00:02 UTC
Built: R 4.5.0; x86_64-apple-darwin20; 2025-01-27 18:00:04 UTC; unix
Archs: bliss.so.dSYM
