plot.lucid_serial

Sankey diagram for a serial-integration LUCID model (not yet implemented)

Implements Latent Unknown Clusters By Integrating Multi-omics Data
(LUCID; Peng (2019) <doi:10.1093/bioinformatics/btz667>) for integrative
clustering with exposures, multi-omics data, and health outcomes.
Supports three integration strategies: early, parallel, and serial.
Provides model fitting and tuning, lasso-type regularization for exposure
and omics feature selection, handling of missing data, including both
sporadic and complete-case patterns, prediction, and g-computation for
estimating causal effects of exposures, bootstrap inference for
uncertainty estimation, and S3 summary and plot methods. For the
multi-omics integration framework, see Jia (2024)
<https://journal.r-project.org/articles/RJ-2024-012/RJ-2024-012.pdf>.
For the missing-data imputation mechanism, see Jia (2024)
<doi:10.1093/bioadv/vbae123>.

Qiran Jia

LUCIDus

LUCID with Multiple Omics Data

Yinqi Zhao

David Conti

Jesse Goodrich

plot.lucid_serial function

<dl><dt>x</dt>
<dd>A LUCID model fitted with <code>lucid_model = "serial"</code>.</dd>
<dt>...</dt>
<dd>Accepted for consistency with <code>plot.early_lucid</code>'s
appearance options, but unused.</dd></dl>

Arguments

Sankey diagram for a serial-integration LUCID model (not yet implemented) — plot.lucid_serial

<dl>

<dt>x</dt>
<dd>A LUCID model fitted with <code>lucid_model = "serial"</code>.</dd>


<dt>...</dt>
<dd>Accepted for consistency with <code>plot.early_lucid</code>'s
appearance options, but unused.</dd>

</dl>

plot.lucid_serial: Sankey diagram for a serial-integration LUCID model (not yet implemented)

Description

Usage

Value

Arguments