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HIest (version 2.0)

Hybrid index estimation

Description

Uses likelihood to estimate ancestry and heterozygosity. Evaluates simple hybrid classifications (parentals, F1, F2, backcrosses). Estimates genomic clines.

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Version

Install

install.packages('HIest')

Monthly Downloads

14

Version

2.0

License

GPL (>= 3)

Maintainer

Ben Fitzpatrick

Last Published

February 16th, 2013

Functions in HIest (2.0)

HIC

Closed form maximum-likelihood estimates of ancestry and heterozygosity for diagnostic markers
Cline.fit

Fit alternative cline functions to data from one or more genetic loci.
Bluestone

Original marker data for hybrid tiger salamander larvae collected from Bluestone Quarry pond.
HItest

Compare the likelihood of hybrid classification to MLE estimates of ancestry and heterozygosity.
HIclass

Calculate likelihoods for early generation hybrid genotype classes
spatial.HZ

Simulate a hybrid zone in continuous, 2-dimensional space
gcline.fn

Fit a genomic cline using maximum likelihood
threeway

Find joint maximum-likelihood estimates of ancestry and heterozygosity for a sample of hybrids in a three-way hybrid zone
HIC3

Closed form maximum-likelihood estimates of ancestry and heterozygosity for diagnostic markers in a three-way hybrid zone
thirdclass

Calculate likelihoods for early generation hybrid genotype classes in a three-way hybrid zone.
spatial.AD

Simulate admixture in continuous, 2-dimensional space
longX2

Longs heterogeneity test for admixture proportions in a single population.
HILL

Hybrid Index Log Likelihood
HIsurf

Describe the joint likelihood surface of ancestry and heterozygosity for a hybrid genotype.
HItest3

Compare the likelihood of hybrid classification to MLE estimates of ancestry and heterozygosity for three-way hybrid zones.
HIest-package

Functions for estimating hybrid indices (ancestry and heterozygosity) and fitting genomic clines.
HIest

Find the joint maximum likelihood estimates of ancestry and interclass heterozygosity in a sample of hybrids.
Cline.plot

Graph genomic clines fit to data