fast_cov

Fast computation of covariance / correlation matrix

Provides the following types of models: Models for contingency
tables (i.e. log-linear models) Graphical Gaussian models for multivariate
normal data (i.e. covariance selection models) Mixed interaction models.
Documentation about 'gRim' is provided by vignettes included in this
package and the book by Højsgaard, Edwards and Lauritzen (2012,
<doi:10.1007/978-1-4614-2299-0>); see 'citation("gRim")' for details.

Søren Højsgaard

gRim

Graphical Interaction Models

fast_cov function

<dl><dt>x</dt>
<dd>a numeric matrix(like object).</dd>
<dt>center, scale</dt>
<dd>Should columns in x be centered and/or scaled</dd></dl>

Arguments

Fast computation of covariance / correlation matrix — fast_cov

<dl>

<dt>x</dt>
<dd>a numeric matrix(like object).</dd>


<dt>center, scale</dt>
<dd>Should columns in x be centered and/or scaled</dd>

</dl>

fast_cov: Fast computation of covariance / correlation matrix

Description

Usage

Arguments