unbiasedWeightedStateChoice

Determines the most frequent genomic state in a given interval, weighted by Laplace-scaled probabilities.

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

unbiasedWeightedStateChoice function

<dl><dt>genomicStates</dt>
<dd>A character vector of genomic states.</dd>
<dt>laplaceWeights</dt>
<dd>A numeric vector of weights.</dd></dl>

Arguments

Select the weighted mode of genomic states — unbiasedWeightedStateChoice

<dl>

<dt>genomicStates</dt>
<dd>A character vector of genomic states.</dd>


<dt>laplaceWeights</dt>
<dd>A numeric vector of weights.</dd>

</dl>

unbiasedWeightedStateChoice: Select the weighted mode of genomic states

Description

Usage

Value

Arguments

Details