Compute Confidence Intervals for an lmFScreen Model
confint.lmFScreen.RdPrints and returns confidence intervals for both selective and naive estimates. The confidence level is taken from the alpha value stored in the lmFScreen object.
Usage
# S3 method for class 'lmFScreen'
confint(object, ...)Value
Invisibly returns a list containing:
Selective: A data frame of confidence intervals for selective estimates
Standard: A data frame of confidence intervals for standard estimates
Examples
data(mtcars)
result <- lmFScreen(mpg ~ wt + hp, data = mtcars)
confint(result)
#>
#> lmFScreen Model Confidence Intervals
#> ------------------------------------------------------
#> Confidence Level: 95.00%
#> Number of predictors: 2
#> ------------------------------------------------------
#>
#> Selective Confidence Intervals:
#> Predictor Lower.CI Upper.CI
#> ---------------------------------------------
#> wt -5.1704 -2.5839
#> hp -0.0502 -0.0133
#>
#> Standard Confidence Intervals:
#> Predictor Lower.CI Upper.CI
#> ---------------------------------------------
#> wt -5.1180 -2.6377
#> hp -0.0495 -0.0141
#>