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Demerelate (version 0.9-2)

Functions to Calculate Relatedness on Diploid Genetic Data

Description

Functions to calculate pairwise relatedness on diploid genetic datasets. Different estimators for relatedness can be combined with information on geographical distances. Information on heterozygosity, allele- and genotype diversity as well as genetic F-statistics are provided for each population.

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Version

Install

install.packages('Demerelate')

Monthly Downloads

29

Version

0.9-2

License

GPL (>= 2)

Maintainer

Philipp Kraemer

Last Published

January 24th, 2017

Functions in Demerelate (0.9-2)

input.txt

Reads different types of tables and returns an object.
glm.prep

Preparation for multinomial logistic regression.
Emp.calc

Function to calculate pairwise relatedness within populations based on allele sharing.
Example.Data

Example dataset for package Demerelate to calculate inter individual pairwise genetic relatedness.
allele.sharing

Calculates allele sharing rates or similarity estimators for two populations
Lin.reg.distance

Linear regression of empirical genetic relatedness with geographic distance.
Demerelate

Demerelate --- Algorithms to estimate pairwise relatedness within populations based on allele sharing
Loci.test

Analysis on differences in mean relatedness based on number of loci used for calculations
stat.pops

Calculation of Fis empirical and bootstrapped values
Similarity.Index

Pairwise genetic similarity calculated based on different relatedness estimators or allele shraing indices
geo.dist

Calculates geographic distances.
Fis

Calculates allele and genotype frequencies
F.stat

Head function to calculate F statistics.
Fis.calc

Calculation of $Fis$ empirical and bootstrapped values
offspring

Mendelian offspring generator
relate.calc

Coordinates internally reference and empirical datasets and statistics
weir

Calculation of $F_{is}$ based on Weir and Cockerham 1984