vcov.augSIMEX: Extract the variance-covariance matrix from the fitted...

In augSIMEX: Analysis of Data with Mixed Measurement Error and Misclassification in Covariates

Description

This function return the variance-covariance matrix from a fitted augSIMEX object

Usage

## S3 method for class 'augSIMEX'

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

Arguments

object	the “augSIMEX" object gotten from augSIMEX function.
...	other arguments to pass to the function.

Author(s)

Qihuang Zhang and Grace Y. Yi.

See Also

vcov

Examples

data(ToyUni)
example <- augSIMEX(mainformula = Y ~ Xstar + Zstar + W, family = binomial(link = logit),
  mismodel = pi|qi ~ W, 
  meformula = Xstar ~ X + Z + W,
  data = ToyUni$Main,validationdata = ToyUni$Validation, subset = NULL,
  err.var = "Xstar", mis.var = "Zstar", err.true = "X", mis.true = "Z", 
  err.mat = NULL,
  lambda = NULL, M = 5, B = 2, nBoot = 2, extrapolation="quadratic")
vcov(example)

augSIMEX documentation built on April 23, 2020, 5:08 p.m.