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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:

Reference manual: bliss.pdf
Vignettes: Introduction to BliSS method

Downloads:

Package source: bliss_1.1.1.tar.gz
Windows binaries: r-devel: bliss_1.1.1.zip, r-release: bliss_1.1.1.zip, r-oldrel: bliss_1.1.1.zip
macOS binaries: r-release (arm64): bliss_1.1.1.tgz, r-oldrel (arm64): bliss_1.1.1.tgz, r-release (x86_64): bliss_1.1.1.tgz, r-oldrel (x86_64): bliss_1.1.1.tgz
Old sources: bliss archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=bliss to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.