Summarize an lmFScreen Model — summary.lmFScreen • lmFScreen

Displays a structured summary of an lmFScreen model, including both selective and naive estimates, confidence intervals, and p-values.

Usage

# S3 method for class 'lmFScreen'
summary(object, ...)

Arguments

object: An object of class lmFScreen containing model results.
...: Additional arguments (currently unused).

Value

Invisibly returns a list containing:

Selective: A data frame with selective estimates, confidence intervals, and p-values
Standard: A data frame with standard estimates, confidence intervals, and p-values

Details

The output includes:

A header indicating the number of predictors
A table of selective estimates with confidence intervals and p-values
A table of naive estimates with confidence intervals and p-values
Significance stars are added to p-values:
- for p < 0.05 ** for p < 0.01 *** for p < 0.001

Examples

data(mtcars)
result <- lmFScreen(mpg ~ wt + hp, data = mtcars)
summary(result)
#> lmFScreen Model Summary 
#> --------------------------------------
#> Overall F-statistic:    69.2112
#> --------------------------------------
#> 
#> Number of post hoc tests: 2
#> --------------------------------------
#> 
#> Selective Estimates:
#> Predictor       Estimate     Lower.CI    Upper.CI    P-value
#> -------------------------------------------------------------
#>  wt            -3.877831     -5.1729     -2.5866      0.0000***
#>  hp            -0.031773     -0.0502     -0.0133      0.0015**
#> 
#> Standard Estimates:
#> Predictor       Estimate     Lower.CI    Upper.CI    P-value
#> -------------------------------------------------------------
#>  wt            -3.877831     -5.1180     -2.6377      0.0000***
#>  hp            -0.031773     -0.0495     -0.0141      0.0015**
#> 
#> 
#> Significance levels: * < 0.05  ** < 0.01  *** < 0.001