GLMpath

summary.GLMpath

print.GLMpath

GLMpath-class

Methods for the result of <code>GLMnetwork</code>
(<code>GLMpath</code> object)

Infer log-linear Poisson Graphical Model with an auxiliary data
set. Hot-deck multiple imputation method is used to improve the reliability
of the inference with an auxiliary dataset. Standard log-linear Poisson
graphical model can also be used for the inference and the Stability
Approach for Regularization Selection (StARS) is implemented to drive the
selection of the regularization parameter. The method is fully described in
<doi:10.1093/bioinformatics/btx819>.

Nathalie Vialaneix

RNAseqNet

Log-Linear Poisson Graphical Model with Hot-Deck Multiple
Imputation

Alyssa Imbert

GLMpath function

<dl><dt>object</dt>
<dd><code>GLMpath</code> object</dd>
<dt>...</dt>
<dd>not used</dd>
<dt>x</dt>
<dd><code>GLMpath</code> object</dd></dl>

Arguments

Alyssa Imbert, <a href="/link/alyssa.imbert%40gmail.com?package=RNAseqNet&version=0.1.5" data-mini-rdoc="RNAseqNet::alyssa.imbert@gmail.com">alyssa.imbert@gmail.com</a>Nathalie Vialaneix, <a href="/link/nathalie.vialaneix%40inrae.fr?package=RNAseqNet&version=0.1.5" data-mini-rdoc="RNAseqNet::nathalie.vialaneix@inrae.fr">nathalie.vialaneix@inrae.fr</a>

Author

Methods for 'GLMpath' objects. — GLMpath

<dl>

<dt>object</dt>
<dd><code>GLMpath</code> object</dd>


<dt>...</dt>
<dd>not used</dd>


<dt>x</dt>
<dd><code>GLMpath</code> object</dd>

</dl>

Alyssa Imbert, <a href='mailto:alyssa.imbert@gmail.com'>alyssa.imbert@gmail.com</a>Nathalie Vialaneix, <a href='mailto:nathalie.vialaneix@inrae.fr'>nathalie.vialaneix@inrae.fr</a>

GLMpath: Methods for 'GLMpath' objects.

Description

Usage

Arguments

Author

See Also