bplsr-package: bplsr: Bayesian partial least squares regression
In bplsr: Bayesian partial least squares regression
bplsr-package R Documentation
bplsr: Bayesian partial least squares regression
Description
Fits the Bayesian partial least squares regression model introduced in Urbas et al. (2024) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1214/24-AOAS1947")}. Suitable for univariate and multivariate regression with high-dimensional data.
Author(s)
Maintainer: Szymon Urbas szymon.urbas@mu.ie
Other contributors:
Pierre Lovera [contributor]
Robert Daly [contributor]
Alan O'Riordan [contributor]
Donagh Berry [contributor]
Isobel Claire Gormley [contributor]
bplsr documentation built on April 3, 2025, 7:26 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| bplsr-package | R Documentation |
bplsr: Bayesian partial least squares regression
Description
Fits the Bayesian partial least squares regression model introduced in Urbas et al. (2024) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1214/24-AOAS1947")}. Suitable for univariate and multivariate regression with high-dimensional data.
Author(s)
Maintainer: Szymon Urbas szymon.urbas@mu.ie
Other contributors:
Pierre Lovera [contributor]
Robert Daly [contributor]
Alan O'Riordan [contributor]
Donagh Berry [contributor]
Isobel Claire Gormley [contributor]
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.