do_need_to_reduce

Determine if it is required to reduce the size of the grid time
 points for each functional covariate.

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>.

Paul-Marie Grollemund

bliss

Bayesian Functional Linear Regression with Sparse Step Functions

Isabelle Sanchez

Meili Baragatti

do_need_to_reduce function

<dl><dt>param</dt>
<dd>a list containing p_threshold the maximum number of time points
and p the actual number of time points for each functional covariate.</dd></dl>

Arguments

do_need_to_reduce — do_need_to_reduce

<dl>

<dt>param</dt>
<dd>a list containing p_threshold the maximum number of time points
and p the actual number of time points for each functional covariate.</dd>

</dl>

do_need_to_reduce: do_need_to_reduce

Description

Usage

Value

Arguments

Examples