vcov.blm

vcov,blm-method

vcov,lexpit-method

<p></p><p>Returns Hessian-based variance-covariance matrix of the fit of a <code>blm</code> or <code>lexpit</code> model. If any constraints are active, only the augmented Lagrangian takes this into account in the Hessian computation, so if <code>augmented</code> is <code>FALSE</code>, i.e. the adaptive barrier method of optimization is used, the covariance-variance might be inaccurate.
</p>

methods

vcov

Implements regression models for binary data on the absolute risk scale. These models are applicable to cohort and population-based case-control data.

S A Kovalchik

Binomial linear and linear-expit regression

vcov function

<dl> <dt>vcov</dt><dd><code>signature(object = "blm")</code>:
Extractor for variance-covariance of MLEs. 
  </dd> <dt>vcov</dt><dd><code>signature(object = "lexpit")</code>:
Extractor for variance-covariance of MLEs. 
  </dd> </dl> 

vcov: Get variance-covariance from `blm` and `lexpit` objects.

Description

Arguments

Methods