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In bliss: Bayesian Functional Linear Regression with Sparse Step Functions
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bliss: Bayesian functional Linear regression with Sparse Step functions
Description
A method for the Bayesian Functional Linear Regression model (functions-on-scalar),
including two estimators of the coefficient function and an estimator of its support.
A representation of the posterior distribution is also available.
Author(s)
Maintainer: Paul-Marie Grollemund paul_marie.grollemund@uca.fr
Other contributors:
Isabelle Sanchez isabelle.sanchez@inra.fr [contractor]
Meili Baragatti meili.baragatti@supagro.fr [contractor]
See Also
Useful links:
bliss documentation built on May 29, 2024, 8:35 a.m.
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| bliss | R Documentation |
bliss: Bayesian functional Linear regression with Sparse Step functions
Description
A method for the Bayesian Functional Linear Regression model (functions-on-scalar), including two estimators of the coefficient function and an estimator of its support. A representation of the posterior distribution is also available.
Author(s)
Maintainer: Paul-Marie Grollemund paul_marie.grollemund@uca.fr
Other contributors:
Isabelle Sanchez isabelle.sanchez@inra.fr [contractor]
Meili Baragatti meili.baragatti@supagro.fr [contractor]
See Also
Useful links:
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.
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