besmi_knn_impute

KNN imputation sweep (uses VIM::kNN)

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_knn_impute function

<dl><dt>M_input</dt>
<dd>Matrix with NAs</dd>
<dt>M_mask</dt>
<dd>Logical mask matrix</dd>
<dt>M_real</dt>
<dd>Optional ground truth</dd>
<dt>distance_metric</dt>
<dd>Distance metric name</dd>
<dt>k</dt>
<dd>Dataset parameter k</dd>
<dt>bs_i</dt>
<dd>Bootstrap index</dd></dl>

Arguments

KNN imputation sweep (uses VIM::kNN) — besmi_knn_impute

<dl>

<dt>M_input</dt>
<dd>Matrix with NAs</dd>


<dt>M_mask</dt>
<dd>Logical mask matrix</dd>


<dt>M_real</dt>
<dd>Optional ground truth</dd>


<dt>distance_metric</dt>
<dd>Distance metric name</dd>


<dt>k</dt>
<dd>Dataset parameter k</dd>


<dt>bs_i</dt>
<dd>Bootstrap index</dd>

</dl>

besmi_knn_impute: KNN imputation sweep (uses VIM::kNN)

Description

Usage

Value

Arguments