Obtain estimates using generalized least squares (gls).

This software provides tools for quantitative trait mapping in populations such as advanced intercross lines where relatedness among individuals should not be ignored. It can estimate background genetic variance components, impute missing genotypes, simulate genotypes, perform a genome scan for putative quantitative trait loci (QTL), and plot mapping results. It also has functions to calculate identity coefficients from pedigrees, especially suitable for pedigrees that consist of a large number of generations, or estimate identity coefficients from genotypic data in certain circumstances.

Riyan Cheng

QTLRel

Tools for Mapping of Quantitative Traits of Genetically Related
Individuals and Calculating Identity Coefficients from
Pedigrees

gls function

<dl> <dt>formula</dt>
<dd>An object of class "formula": a symbolic description of the model to be fitted.</dd> <dt>data</dt>
<dd>An data frame containing the variables in the model.</dd> <dt>vc</dt>
<dd>An object from <code>estVC</code> or <code>aicVC</code> or an estimated variance-covariance matrix induced by relatedness and environment if not NULL.</dd> <dt>test</dt>
<dd>Wheter F-test is performed.</dd></dl>

Arguments

Generalized Least Squares Estimates — gls

<dl>

 <dt>formula</dt>
<dd>An object of class "formula": a symbolic description of the model to be fitted.</dd>

 <dt>data</dt>
<dd>An data frame containing the variables in the model.</dd>

 <dt>vc</dt>
<dd>An object from <code>estVC</code> or <code>aicVC</code> or an estimated variance-covariance matrix induced by relatedness and environment if not NULL.</dd>

 <dt>test</dt>
<dd>Wheter F-test is performed.</dd>

</dl>

gls: Generalized Least Squares Estimates

Description

Usage

Value

Arguments

See Also