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: | 1.1.0 |
Depends: | R (≥ 3.5.0) |
Imports: | Rcpp, MASS, ggplot2 |
LinkingTo: | Rcpp, RcppArmadillo, RcppProgress |
Suggests: | rmarkdown, knitr, RColorBrewer |
Published: | 2024-05-14 |
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 |
Reference manual: | bliss.pdf |
Vignettes: |
Introduction to BliSS method |
Package source: | bliss_1.1.0.tar.gz |
Windows binaries: | r-devel: bliss_1.1.0.zip, r-release: bliss_1.1.0.zip, r-oldrel: bliss_1.1.0.zip |
macOS binaries: | r-release (arm64): bliss_1.1.0.tgz, r-oldrel (arm64): bliss_1.1.0.tgz, r-release (x86_64): bliss_1.1.0.tgz, r-oldrel (x86_64): bliss_1.1.0.tgz |
Old sources: | bliss archive |
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