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Demerelate (version 0.8-1)

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

39

Version

0.8-1

License

GPL (>= 2)

Maintainer

Philipp Kraemer

Last Published

December 17th, 2013

Functions in Demerelate (0.8-1)

Demerelate-package

Demerelate --- Algorithms to estimate pairwise relatedness within populations based on allele sharing
Fis.calc

Calculation of $Fis$ empirical and bootstrapped values
demerelpop

Example dataset for package Demerelate to calculate inter individual pairwise genetic relatedness.
Lin.reg.distance

Linear regression of empirical genetic relatedness with geographic distance.
offspring

Mendelian offpsring generator
Fis

Calculates allele and genotype frequencies
Demerelate

Demerelate --- Algorithms to estimate pairwise relatedness within populations based on allele sharing
demerelref

Example dataset for package Demerelate to calculate inter individual pairwise genetic relatedness.
input.txt

Reads different types of tables and returns an object.
allele.sharing

Calculates allele sharing rates or similarity estimators for two populations
F.stat

Head function to calculate F statistics.
geo.dist

Calculates geographic distances.
random.pairs

Random pairs generator
queller

Queller and Goodnight estimator of relatedness
emp.calc

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

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

Example dataset for package Demerelate to calculate inter individual pairwise genetic relatedness.
stat.pops

Calculation of Fis empirical and bootstrapped values
Loci.test

Analysis on differences in mean relatedness based on number of loci used for calculations
relate.calc

Coordinates internally reference and empirical datasets and statistics
glm.prep

Preparation for multinomial logistic regression.