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bliss  

Bayesian Functional Linear Regression with Sparse Step Functions
View on CRAN: Click here


Download and install bliss package within the R console
Install from CRAN:
install.packages("bliss")

Install from Github:
library("remotes")
install_github("cran/bliss")

Install by package version:
library("remotes")
install_version("bliss", "1.1.1")



Attach the package and use:
library("bliss")
Maintained by
Paul-Marie Grollemund
[Scholar Profile | Author Map]
First Published: 2019-03-06
Latest Update: 2022-02-16
Description:
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) .
How to cite:
Paul-Marie Grollemund (2019). bliss: Bayesian Functional Linear Regression with Sparse Step Functions. R package version 1.1.1, https://cran.r-project.org/web/packages/bliss. Accessed 11 Apr. 2025.
Previous versions and publish date:
1.0.0 (2019-03-06 13:20), 1.0.1 (2020-07-13 09:00), 1.0.2 (2021-05-17 11:40), 1.0.3 (2022-01-13 15:52), 1.0.4 (2022-02-16 14:10), 1.0.5 (2024-04-18 09:50), 1.1.0 (2024-05-14 10:23)
Other packages that cited bliss R package
View bliss citation profile
Other R packages that bliss depends, imports, suggests or enhances
Complete documentation for bliss
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