obj.LDL.add

numeric vector of length=5 containing containing parameters to maximize: -error variance -Q allele effect -evolution time -Q allele frequency at time t=0 -performance mean

param

list of 12 objects. Some objects are results provided by <code>descendant.pere()</code>,
 <code>moyenne.pere()</code>, <code>corresp()</code>, <code>pi.hap()</code>, <code>structure.hap()</code>, <code>poids.D()</code> functions.


The function gives the log-likelihood value of the HAPimLDL method under alternative hypothesis H1.
It can be viewed as an internal function. 
The user does not have to call it by himself.


models

The package provides a set of functions whose aim is to
propose 4 methods of QTL detection. HAPimLD is an
interval-mapping method designed for unrelated individuals with
no family information that makes use of linkage disequilibrium.
HAPimLDL is an interval-mapping method for design of half-sib
families. It combines linkage analysis and linkage
disequilibrium. HaploMax is based on an analysis of variance
with a dose haplotype effect. HaploMaxHS is based on an
analysis of variance with a sire effect and a dose haplotype
effect in half-sib family design.  Fundings for the package
development were provided to the LDLmapQTL project by the ANR
GENANIMAL program and APIS-GENE.

HAPim

HapIM

obj.LDL.add function

numeric vector of length=5 containing containing parameters to maximize:

   -error variance 

   -Q allele effect

   -evolution time

   -Q allele frequency at time t=0

   -performance mean 

obj.LDL.add: log-likelihood value of the HAPimLDL method under H1

Description

Usage

Arguments

Value

References

See Also