Summary Method for an Object of Class betasandwich — summary.betasandwich • betaSandwich

Summary Method for an Object of Class betasandwich

Usage

# S3 method for betasandwich
summary(object, alpha = NULL, digits = 4, ...)

Arguments

object: Object of class betasandwich.
alpha: Numeric vector. Significance level \(\alpha\). If alpha = NULL, use the argument alpha used in object.
digits: Digits to print.
...: additional arguments.

Value

Returns a matrix of standardized regression slopes, standard errors, test statistics, degrees of freedom, p-values, and confidence intervals.

Author

Ivan Jacob Agaloos Pesigan

Examples

object <- lm(QUALITY ~ NARTIC + PCTGRT + PCTSUPP, data = nas1982)
std <- BetaHC(object)
summary(std)
#> Call:
#> BetaHC(object = object)
#> 
#> Standardized regression slopes with HC3 standard errors:
#>            est     se      t df      p   0.05%   0.5%   2.5%  97.5%  99.5%
#> NARTIC  0.4951 0.0786 6.3025 42 0.0000  0.2172 0.2832 0.3366 0.6537 0.7071
#> PCTGRT  0.3915 0.0818 4.7831 42 0.0000  0.1019 0.1707 0.2263 0.5567 0.6123
#> PCTSUPP 0.2632 0.0855 3.0786 42 0.0037 -0.0393 0.0325 0.0907 0.4358 0.4940
#>         99.95%
#> NARTIC  0.7731
#> PCTGRT  0.6810
#> PCTSUPP 0.5658