truncatedLaplace

Evaluates a Laplace distribution truncated to 95% of its area, with weights scaled to <code>10/19</code>.

internal

Implements a likelihood-based method for genome polarization, identifying
which alleles of SNV markers belong to either side of a barrier to gene flow. The
approach co-estimates individual assignment, barrier strength, and divergence between
sides, with direct application to studies of hybridization. Includes VCF-to-diem
conversion and input checks, support for mixed ploidy and parallelization, and tools
for visualization and diagnostic outputs. Based on diagnostic index expectation
maximization as described in Baird et al. (2023) <doi:10.1111/2041-210X.14010>.

Natalia Martinkova

diemr

Genome Polarization via Diagnostic Index Expectation
Maximization

Stuart Baird

truncatedLaplace function

<dl><dt>x</dt>
<dd>A vector of integers representing centered SNP positions.</dd>
<dt>laplaceScale</dt>
<dd>Scale parameter of the Laplace distribution.</dd></dl>

Arguments

Compute truncated Laplace distribution weights — truncatedLaplace

<dl>

<dt>x</dt>
<dd>A vector of integers representing centered SNP positions.</dd>


<dt>laplaceScale</dt>
<dd>Scale parameter of the Laplace distribution.</dd>

</dl>

truncatedLaplace: Compute truncated Laplace distribution weights

Description

Usage

Value

Arguments

Details