vcov.edist

Method for obtaining the variance-covariance matrix (or scalar)

Provides an algebra over probability distributions enabling
composition, sampling, and automatic simplification to closed forms.
Supports normal, exponential, multivariate normal, and empirical
distributions with operations like addition and subtraction that
automatically simplify when mathematical identities apply (e.g., the
sum of independent normal distributions is normal). Uses S3 classes for
distributions and R6 for support objects.

Alexander Towell

algebraic.dist

Algebra over Probability Distributions

vcov.edist function

<dl><dt>object</dt>
<dd>The <code>edist</code> object to retrieve the variance-covariance matrix from</dd>
<dt>n</dt>
<dd>The number of samples to take (default: 1000)</dd>
<dt>...</dt>
<dd>Additional arguments to pass (not used)</dd></dl>

Arguments

Method for obtaining the variance-covariance matrix (or scalar) — vcov.edist

<dl>

<dt>object</dt>
<dd>The <code>edist</code> object to retrieve the variance-covariance matrix from</dd>


<dt>n</dt>
<dd>The number of samples to take (default: 1000)</dd>


<dt>...</dt>
<dd>Additional arguments to pass (not used)</dd>

</dl>

vcov.edist: Method for obtaining the variance-covariance matrix (or scalar)

Description

Usage

Value

Arguments