dibble

Creates a tibble with degree, expected kinship coefficient, and inference boundaries.
Rows will be created up to the <code>max_degree</code>, with an additional row for any
relationship more distant than <code>max_degree</code>. The <code>degree</code> value for the final
row will be <code>NA</code>. This represents inference criteria for "unrelated"
individuals. See examples.

Utilities for single nucleotide polymorphism (SNP) based kinship analysis
testing and evaluation. The 'skater' package contains functions for importing, parsing,
and analyzing pedigree data, performing relationship degree inference, benchmarking
relationship degree classification, and summarizing identity by descent (IBD) segment data.
Package functions and methods are described in Turner et al. (2021) "skater: An R package
for SNP-based Kinship Analysis, Testing, and Evaluation" <doi:10.1101/2021.07.21.453083>.

Stephen Turner

skater

Utilities for SNP-Based Kinship Analysis

Matthew Scholz

VP Nagraj

Signature Science, LLC. 

dibble function

<dl><dt>max_degree</dt>
<dd>The most distant degree you want to measure (usually between 3-9, default 3).</dd></dl>

Arguments

Degree tibble — dibble

<dl>

<dt>max_degree</dt>
<dd>The most distant degree you want to measure (usually between 3-9, default 3).</dd>

</dl>

dibble: Degree tibble

Description

Usage

Value

Arguments

Examples