vcov.teeMod: Compute variance-covariance matrix for fitted 'teeMod' model

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

Compute variance-covariance matrix for fitted teeMod model

Description

An S3method for stats::vcov that computes standard errors for teeMod models using vcov_tee().

Usage

## S3 method for class 'teeMod'
vcov(object, ...)

Arguments

object	a fitted teeMod model
...	additional arguments to vcov_tee().

Details

vcov.teeMod() wraps around vcov_tee(), so additional arguments passed to ... will be passed to the vcov_tee() call. See documentation for vcov_tee() for information about necessary arguments.

Value

A variance-covariance matrix with row and column entries for the estimated coefficients in x, the marginal mean outcome in the control condition, the marginal mean offset in the control condition (if an offset is provided), and if a moderator variable is specified in the formula for x, the mean interaction in the control condition of the outcome and offset with the moderator variable

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