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Demerelate (version 0.9-1)

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

0.9-1

License

GPL (>= 2)

Maintainer

Philipp Kraemer

Last Published

August 31st, 2016

Functions in Demerelate (0.9-1)

input.txt

Reads different types of tables and returns an object.
Example.Data

Example dataset for package Demerelate to calculate inter individual pairwise genetic relatedness.
glm.prep

Preparation for multinomial logistic regression.
geo.dist

Calculates geographic distances.
Fis

Calculates allele and genotype frequencies
F.stat

Head function to calculate F statistics.
allele.sharing

Calculates allele sharing rates or similarity estimators for two populations
Emp.calc

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

Calculation of $Fis$ empirical and bootstrapped values
Demerelate

Demerelate --- Algorithms to estimate pairwise relatedness within populations based on allele sharing
stat.pops

Calculation of Fis empirical and bootstrapped values
weir

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

Mendelian offspring generator
Similarity.Index

Pairwise genetic similarity calculated based on different relatedness estimators or allele shraing indices
Lin.reg.distance

Linear regression of empirical genetic relatedness with geographic distance.
random.pairs

Random pairs generator
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