Tools for marginalization, conditioning and fitting by maximum likelihood.

Graphical Markov Models with Mixed Graphs

package-ubuntu-20.04-r-4.0.5#cran#ggm-2.5

<p>Block diagonal concatenation of input arguments.
</p>

<table summary="R argblock"><tr valign="top">
<td><code>...</code></td>
<td>

<p>Variable number of matrices <code>M1, M2, ...</code>.
</p>
</td>
</tr></table>

<p>A block diagonal matrix <code>diag(M1, M2, ...)</code>.
</p>

X <- c(1,1,2,2); Z <- c(10, 20, 30, 40); A <- factor(c(1,2,2,2))
blkdiag(model.matrix(~X+Z), model.matrix(~A))

package-ubuntu-20.04-r-4.0.5#cran#ggm-2.5#docs#blkdiag

blkdiag

Description

Usage

Arguments

Value

Author(s)

See Also

Examples

ggm

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