sparseRBIC_bootstrap: Bootstrap procedure for stepwise regression
In petersonR/sparseR: Variable Selection under Ranked Sparsity Principles for Interactions and Polynomials
View source: R/sparseRBIC_bootstrap.R
sparseRBIC_bootstrap R Documentation
Bootstrap procedure for stepwise regression
Description
Runs bootstrap on models selection procedure using RBIC to
find bootstrapped standard error (smoothed, see Efron 2014)
as well as selection percentage across candidate variables.
(experimental)
Usage
sparseRBIC_bootstrap(srbic_fit, B = 100, quiet = FALSE)
Arguments
srbic_fit
An object fitted by sparseRBIC_step
B
Number of bootstrap samples
quiet
Should the display of a progress bar be silenced?
Value
a list containing:
results
a tibble containing coefficients, p-values, selection pct
bootstraps
a tibble of bootstrapped coefficients
petersonR/sparseR documentation built on April 17, 2025, 11:41 p.m.
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View source: R/sparseRBIC_bootstrap.R
| sparseRBIC_bootstrap | R Documentation |
Bootstrap procedure for stepwise regression
Description
Runs bootstrap on models selection procedure using RBIC to find bootstrapped standard error (smoothed, see Efron 2014) as well as selection percentage across candidate variables. (experimental)
Usage
sparseRBIC_bootstrap(srbic_fit, B = 100, quiet = FALSE)
Arguments
srbic_fit |
An object fitted by sparseRBIC_step |
B |
Number of bootstrap samples |
quiet |
Should the display of a progress bar be silenced? |
Value
a list containing:
results |
a tibble containing coefficients, p-values, selection pct |
bootstraps |
a tibble of bootstrapped coefficients |
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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