new_MULTINORMAL

Return a <code>DISTRIBUTION</code> object that draw random numbers from a 
multivariate normal distribution using the <code><a href="/link/mvrnorm?package=convdistr&version=1.6.1" data-mini-rdoc="convdistr::mvrnorm">mvrnorm</a></code> function.

Convolute probabilistic distributions using the random generator
function of each distribution. A new random number generator function is created that
perform the mathematical operation on the individual random samples from the
random generator function of each distribution. See the documentation for examples.

Aponte John

convdistr

Convolute Probabilistic Distributions

new_MULTINORMAL function

<dl><dt>p_mu</dt>
<dd>a vector of means</dd>
<dt>p_sigma</dt>
<dd>a positive-definite symmetric matrix for the covariance matrix</dd>
<dt>p_dimnames</dt>
<dd>A character that represents the name of the dimension</dd>
<dt>tol</dt>
<dd>tolerance (relative to largest variance) for numerical lack of positive-definiteness in p_sigma.</dd>
<dt>empirical</dt>
<dd>logical. If true, mu and Sigma specify the empirical not population mean and covariance matrix.</dd></dl>

Arguments

Author

Return a <code>DISTRIBUTION</code> object that draw random numbers from a 
multivariate normal distribution using the <code><a href='https://rdrr.io/pkg/MASS/man/mvrnorm.html'>mvrnorm</a></code> function.

Multivariate Normal Distribution — new_MULTINORMAL

<dl>

<dt>p_mu</dt>
<dd>a vector of means</dd>


<dt>p_sigma</dt>
<dd>a positive-definite symmetric matrix for the covariance matrix</dd>


<dt>p_dimnames</dt>
<dd>A character that represents the name of the dimension</dd>


<dt>tol</dt>
<dd>tolerance (relative to largest variance) for numerical lack of positive-definiteness in p_sigma.</dd>


<dt>empirical</dt>
<dd>logical. If true, mu and Sigma specify the empirical not population mean and covariance matrix.</dd>

</dl>

new_MULTINORMAL: Multivariate Normal Distribution

Description

Usage

Value

Arguments

Author

See Also

Examples