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CRAN: Package bliss

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>.

Version: 1.1.1 Depends: R (≥ 3.5.0) Imports: Rcpp, MASS, ggplot2, RcppArmadillo LinkingTo: Rcpp, RcppArmadillo, RcppProgress Suggests: rmarkdown, knitr, RColorBrewer Published: 2024-07-17 DOI: 10.32614/CRAN.package.bliss Author: Paul-Marie Grollemund [aut, cre], Isabelle Sanchez [ctr], Meili Baragatti [ctr] Maintainer: Paul-Marie Grollemund <paul_marie.grollemund at uca.fr> BugReports: https://github.com/pmgrollemund/bliss/issues License: GPL-3 URL: https://github.com/pmgrollemund/bliss NeedsCompilation: yes Citation: bliss citation info Materials: README NEWS CRAN checks: bliss results Documentation: Downloads: Linking:

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