besmi_create_masked_matrices

Tools to simulate genetic distance matrices, align and compare them via
multidimensional scaling (MDS) and Procrustes, and evaluate imputation with
the Bootstrapping Evaluation for Structural Missingness Imputation (BESMI)
framework. Methods align with Zhu et al. (2025) <doi:10.3389/fpls.2025.1543956>
and the associated software resource Zhu (2025) <doi:10.26188/28602953>.

Jiashuai Zhu

DataFusionGDM

Machine Learning for Integrating Partially Overlapped Genetic
Datasets

The University of Melbourne 

Agriculture Victoria 

besmi_create_masked_matrices function

<dl><dt>full_matrix</dt>
<dd>Full symmetric matrix</dd>
<dt>k</dt>
<dd>Number of populations to mask (as U)</dd>
<dt>seed</dt>
<dd>Optional seed for reproducibility</dd></dl>

Arguments

Create masked matrices for BESMI — besmi_create_masked_matrices

<dl>

<dt>full_matrix</dt>
<dd>Full symmetric matrix</dd>


<dt>k</dt>
<dd>Number of populations to mask (as U)</dd>


<dt>seed</dt>
<dd>Optional seed for reproducibility</dd>

</dl>

besmi_create_masked_matrices: Create masked matrices for BESMI

Description

Usage

Value

Arguments