vcov.multipleOutcomes

Returns the variance-covariance matrix of the main parameters of fitted model
objects. The "main" parameters of models correspond to those returned by <code>coef</code>.

Regression models can be fitted for multiple outcomes simultaneously. This package computes estimates of parameters across fitted models and returns the matrix of asymptotic covariance. Various applications of this package, including CUPED (Controlled Experiments Utilizing Pre-Experiment Data), multiple comparison adjustment, are illustrated.

Han Zhang

multipleOutcomes

Asymptotic Covariance Matrix of Regression Models for Multiple
Outcomes

vcov.multipleOutcomes function

<dl><dt>object</dt>
<dd>an object returned by <code>multipleOutcomes()</code>.</dd>
<dt>model_index</dt>
<dd><code>NULL</code> if displaying covariance matrix of all fitted models;
otherwise, an integer indicating the fitted model.</dd>
<dt>...</dt>
<dd>for debugging only</dd></dl>

Arguments

Calculate Variance-Covariance Matrix for a Fitted Model Object — vcov.multipleOutcomes

<dl>

<dt>object</dt>
<dd>an object returned by <code>multipleOutcomes()</code>.</dd>


<dt>model_index</dt>
<dd><code>NULL</code> if displaying covariance matrix of all fitted models;
otherwise, an integer indicating the fitted model.</dd>


<dt>...</dt>
<dd>for debugging only</dd>

</dl>

vcov.multipleOutcomes: Calculate Variance-Covariance Matrix for a Fitted Model Object

Description

Usage

Value

Arguments