mexp

Algorithm used: spectral decomposition or series approximation.

type

Number of terms in the series expansion.

Constant divisor to avoid over- or underflow (series
approximation only).

<code>mexp</code> calculates <code>exp(t*x)</code> for the square matrix, <code>x</code>, by
spectral decomposition or series expansion.

array

A toolkit of functions for nonlinear regression and repeated
measurements not to be used by itself but called by other Lindsey packages such
as 'gnlm', 'stable', 'growth', 'repeated', and 'event'
(available at <https://www.commanster.eu/rcode.html>).

Bruce Swihart

rmutil

Utilities for Nonlinear Regression and Repeated Measurements
Models

Jim Lindsey

K. Sikorski

F. Stenger

J. Schwing

mexp function

<dl><dt>x</dt>
<dd>A square matrix.</dd><dt>t</dt>
<dd>Constant multiplying the matrix.</dd><dt>type</dt>
<dd>Algorithm used: spectral decomposition or series approximation.</dd><dt>n</dt>
<dd>Number of terms in the series expansion.</dd><dt>k</dt>
<dd>Constant divisor to avoid over- or underflow (series
approximation only).</dd></dl>

Arguments

Author

Matrix Exponentiation — mexp

<dl>

<dt>x</dt>
<dd>A square matrix.</dd>

<dt>t</dt>
<dd>Constant multiplying the matrix.</dd>

<dt>type</dt>
<dd>Algorithm used: spectral decomposition or series approximation.</dd>

<dt>n</dt>
<dd>Number of terms in the series expansion.</dd>

<dt>k</dt>
<dd>Constant divisor to avoid over- or underflow (series
approximation only).</dd>

</dl>

mexp: Matrix Exponentiation

Description

Usage

Value

Arguments

Author

Examples