vcov.spmodel function

Calculate variance-covariance matrix for a fitted model object

Calculate variance-covariance matrix for a fitted model object

Calculate variance-covariance matrix for a fitted model object.

## S3 method for class 'splm' vcov(object, ...) ## S3 method for class 'spautor' vcov(object, ...) ## S3 method for class 'spglm' vcov(object, var_correct = TRUE, ...) ## S3 method for class 'spgautor' vcov(object, var_correct = TRUE, ...)

Arguments

  • object: A fitted model object from splm(), spautor(), spglm(), or spgautor().
  • ...: Other arguments. Not used (needed for generic consistency).
  • var_correct: A logical indicating whether to return the corrected variance-covariance matrix for models fit using spglm() or spgautor(). The default is TRUE.

Returns

The variance-covariance matrix of coefficients obtained via coef(). Currently, only the variance-covariance matrix of the fixed effects is supported.

Examples

spmod <- splm(z ~ water + tarp, data = caribou, spcov_type = "exponential", xcoord = x, ycoord = y ) vcov(spmod)
  • Maintainer: Michael Dumelle
  • License: GPL-3
  • Last published: 2025-03-12