CRAN/E | bliss

bliss

Bayesian Functional Linear Regression with Sparse Step Functions

Installation

About

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.

Citation bliss citation info
github.com/pmgrollemund/bliss
Bug report File report

Key Metrics

Version 1.0.5
R ≥ 3.3.0
Published 2024-04-18 1 day ago
Needs compilation? yes
License GPL-3
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Maintainer

Maintainer

Paul-Marie Grollemund

paul.marie.grollemund@gmail.com

Authors

Paul-Marie Grollemund

aut / cre

Isabelle Sanchez

ctr

Meili Baragatti

ctr

Material

README
NEWS
Reference manual
Package source

Vignettes

Introduction to BliSS method

macOS

r-prerel

arm64

r-release

arm64

r-oldrel

arm64

r-prerel

x86_64

r-release

x86_64

Windows

r-prerel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

bliss archive

Depends

R ≥ 3.3.0

Imports

Rcpp
MASS

Suggests

rmarkdown
knitr
RColorBrewer

LinkingTo

Rcpp
RcppArmadillo