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bplsr  

Bayesian partial least squares regression
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("bplsr", "1.0.4")



Attach the package and use:
library("bplsr")
Maintained by
Szymon Urbas
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-11-12
Latest Update: 2025-07-10
Description:
Fits the Bayesian partial least squares regression model introduced in Urbas et al. (2024) <doi:10.1214/24-AOAS1947>. Suitable for univariate and multivariate regression with high-dimensional data.
How to cite:
Szymon Urbas (2024). bplsr: Bayesian partial least squares regression. R package version 1.0.4, https://cran.r-project.org/web/packages/bplsr. Accessed 17 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:23), 1.0.0 (2024-11-12 15:50), 1.0.1 (2024-12-02 11:50), 1.0.2 (2025-01-13 13:50), 1.0.3 (2025-01-21 14:00), 1.0.4 (2025-07-10 12:10)
Other packages that cited bplsr R package
View bplsr citation profile
Other R packages that bplsr depends, imports, suggests or enhances
Complete documentation for bplsr
Functions, R codes and Examples using the bplsr R package
Full bplsr package functions and examples
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