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: | 1.0.1 |
| Depends: | R (≥ 3.3.0) |
| Imports: | Rcpp, MASS, RColorBrewer, ggplot2, rockchalk |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | rmarkdown, knitr |
| Published: | 2020-07-13 |
| Author: | Paul-Marie Grollemund [aut, cre], Isabelle Sanchez [ctr], Meili Baragatti [ctr] |
| Maintainer: | Paul-Marie Grollemund <paul.marie.grollemund at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| Citation: | bliss citation info |
| Materials: | README |
| CRAN checks: | bliss results |
| Reference manual: | bliss.pdf |
| Vignettes: |
Introduction to BliSS method |
| Package source: | bliss_1.0.1.tar.gz |
| Windows binaries: | r-devel: bliss_1.0.1.zip, r-release: bliss_1.0.1.zip, r-oldrel: bliss_1.0.1.zip |
| macOS binaries: | r-release: bliss_1.0.1.tgz, r-oldrel: bliss_1.0.1.tgz |
| Old sources: | bliss archive |
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