do_need_to_reduce: do_need_to_reduce
In pmgrollemund/bliss: Bayesian Functional Linear Regression with Sparse Step Functions
View source: R/basic_functions.R
do_need_to_reduce R Documentation
do_need_to_reduce
Description
Determine if it is required to reduce the size of the grid time
points for each functional covariate.
Usage
do_need_to_reduce(param)
Arguments
param
a list containing p_threshold the maximum number of time points
and p the actual number of time points for each functional covariate.
Value
a boolean value.
Examples
data(param1)
param1$p <- sapply(data1$grids,length)
do_need_to_reduce(param1)
pmgrollemund/bliss documentation built on May 15, 2024, 12:32 a.m.
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View source: R/basic_functions.R
| do_need_to_reduce | R Documentation |
do_need_to_reduce
Description
Determine if it is required to reduce the size of the grid time points for each functional covariate.
Usage
do_need_to_reduce(param)
Arguments
param |
a list containing p_threshold the maximum number of time points and p the actual number of time points for each functional covariate. |
Value
a boolean value.
Examples
data(param1)
param1$p <- sapply(data1$grids,length)
do_need_to_reduce(param1)
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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