bamlasso_var_selection: Variable Selection for Bamlasso
In boyiguo1/BHAM: Bayesian Hierarchical Additive Model
View source: R/variable_selection.R
bamlasso_var_selection R Documentation
Variable Selection for Bamlasso
Description
Variable Selection for Bamlasso
Usage
bamlasso_var_selection(mdl)
Arguments
mdl
Model returned from Bamlasso
Value
A list of two consisting a character vector, named Parametric, and a data frame, named Non-parametric. The character vector contains the parametric variabels selected in the model if any. The dataframe, 3-by-p, contains the selected smoothing function, separated for linear components and nonlinear components
boyiguo1/BHAM documentation built on Jan. 29, 2024, 10:37 a.m.
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View source: R/variable_selection.R
| bamlasso_var_selection | R Documentation |
Variable Selection for Bamlasso
Description
Variable Selection for Bamlasso
Usage
bamlasso_var_selection(mdl)
Arguments
mdl |
Model returned from Bamlasso |
Value
A list of two consisting a character vector, named Parametric, and a data frame, named Non-parametric. The character vector contains the parametric variabels selected in the model if any. The dataframe, 3-by-p, contains the selected smoothing function, separated for linear components and nonlinear components
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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