surr_rsq_ci {SurrogateRsq} | R Documentation |
A function to calculate the interval estimate of the surrogate R-squared measure
Description
This function generates the interval measure of surrogate R-squared by bootstrap.
Usage
surr_rsq_ci(surr_rsq, alpha = 0.05, B = 1000, ...)
Arguments
surr_rsq |
A object of class |
alpha |
The significance level alpha. The confidence level is 1-alpha. |
B |
The number of bootstrap replications. |
... |
Additional optional arguments. |
Value
An list that contains the CI_lower, CI_upper.
Examples
data("RedWine")
full_formula <- as.formula(quality ~ fixed.acidity + volatile.acidity + citric.acid
+ residual.sugar + chlorides + free.sulfur.dioxide +
total.sulfur.dioxide + density + pH + sulphates + alcohol)
fullmodel <- polr(formula = full_formula,data=RedWine, method = "probit")
select_model <- update(fullmodel, formula. = ". ~ . - fixed.acidity -
citric.acid - residual.sugar - density")
surr_rsq_select <- surr_rsq(select_model, fullmodel, data = RedWine, avg.num = 30)
# surr_rsq_ci(surr_rsq_select, alpha = 0.05, B = 1000) # Not run, it takes time.
[Package SurrogateRsq version 0.2.1 Index]