rngseed

Initializes the seed value for the internal random-number generator
used in missing-data programs


distribution


An integrated set of functions for the analysis of
multivariate normal datasets with missing values, including implementation of
the EM algorithm, data augmentation, and multiple imputation.

John Fox

norm

Analysis of Multivariate Normal Datasets with Missing Values

rngseed function

<dl><dt>seed</dt>
<dd>a positive number &gt; = 1, preferably a large integer.</dd>
</dl>

Arguments

The random number generator seed must be set at least once
by this function before the simulation or imputation functions
in this package (<code>da.norm</code>, etc.) can be used.

NOTE

Initialize random number generator seed — rngseed

<dl>

<dt>seed</dt>
<dd>a positive number &gt; = 1, preferably a large integer.</dd>
</dl>

rngseed: Initialize random number generator seed

Description

Usage

Value

Arguments

NOTE