multp

Computes the multivariate normal probabilities with arbitrary correlation matrices
It is the inverse of the <code>multz</code> function

Functions for sample size estimation and simulation in clinical
trials. Includes methods for selecting the best group using the
Indifference-zone approach, as well as designs for non-inferiority,
equivalence, and negative binomial models. For the sample size calculation
for non-inferiority of vaccines, the approach is based on Fleming, Powers,
and Huang (2021) <doi:10.1177/1740774520988244>. The Indifference-zone
approach is based on Sobel and Huyett (1957) <doi:10.1002/j.1538-7305.1957.tb02411.x> and
Bechhofer, Santner, and Goldsman (1995, ISBN:978-0-471-57427-9).

Aponte John

ssutil

Sample Size Calculation Tools

John J. Aponte

Chris Gast

multp function

<dl><dt>q</dt>
<dd>Numeric. Quantile of the distribution.</dd>
<dt>k</dt>
<dd>Integer. Number of variables in the multivariate normal distribution.
Must be &gt;= 1.</dd>
<dt>rho</dt>
<dd>Numeric. Common correlation coefficient between variables (typically
between 0 and 1).</dd>
<dt>seed</dt>
<dd>Optional. An object specifying if and how the random number generator
should be initialized. Passed to <code><a href="/link/pmvnorm?package=ssutil&version=1.0.0" data-mini-rdoc="ssutil::pmvnorm">pmvnorm</a></code>.</dd></dl>

Arguments

Calculate the Multivariate Normal Probability — multp

<dl>

<dt>q</dt>
<dd>Numeric. Quantile of the distribution.</dd>


<dt>k</dt>
<dd>Integer. Number of variables in the multivariate normal distribution.
Must be &gt;= 1.</dd>


<dt>rho</dt>
<dd>Numeric. Common correlation coefficient between variables (typically
between 0 and 1).</dd>


<dt>seed</dt>
<dd>Optional. An object specifying if and how the random number generator
should be initialized. Passed to <code><a href='https://rdrr.io/pkg/mvtnorm/man/pmvnorm.html'>pmvnorm</a></code>.</dd>

</dl>

multp: Calculate the Multivariate Normal Probability

Description

Usage

Value

Arguments

Examples