teeMod_summary: Summarizing 'teeMod' objects

In propertee: Standardization-Based Effect Estimation with Optional Prior Covariance Adjustment

Summarizing teeMod objects

Description

summary() method for class teeMod

Usage

## S3 method for class 'teeMod'
summary(object, vcov.type = "HC0", ...)

## S3 method for class 'summary.teeMod'
print(
  x,
  digits = max(3L, getOption("digits") - 3L),
  signif.stars = getOption("show.signif.stars"),
  ...
)

Arguments

object	teeMod object
vcov.type	A string indicating the desired variance estimator. See vcov_tee() for details on accepted types.
...	Additional arguments to vcov_tee(), such as the desired finite sample heteroskedasticity-robust standard error adjustment.
x	summary.teeMod object
digits	the number of significant digits to use when printing.
signif.stars	logical. If ‘TRUE’, ‘significance stars’ are printed for each coefficient.

Details

If a teeMod object is fit with a SandwichLayer offset, then the usual stats::summary.lm() output is enhanced by the use of covariance-adjusted sandwich standard errors, with t-test values recalculated to reflect the new standard errors.

Value

object of class summary.teeMod

propertee documentation built on Aug. 22, 2025, 1:09 a.m.