BSphe


Phenotypic data simulated with BSdat which has multiple observations per genotype


datasets

QTL mapping in a mixed model framework with separate
detection and localization stages. The first stage detects the
number of QTL on each chromosome based on the genetic variation
due to grouped markers on the chromosome; the second stage uses
this information to determine the most likely QTL positions.
The mixed model can accommodate general fixed and random
effects, including spatial effects in field trials and pedigree
effects. Applicable to backcrosses, doubled haploids,
recombinant inbred lines, F2 intercrosses, and association
mapping populations.

Emma Huang

dlmap

Detection Localization Mapping for QTL

BSphe function

A data frame with three columns:
<dl>
<dt>ID:</dt><dd>the ID for each individual. These are the same 250 
individuals appearing in BSdat, each with 4 replicates</dd> <dt>Block:</dt><dd>a factor with 4 levels indicating the replicate</dd> <dt>phenotype:</dt><dd>the phenotype value. It is generated from the same
QTL effects as in BSdat, with the additional block effect and random error</dd> </dl> 

BSphe: Simulated phenotypic data

Description

Usage

Arguments

Format

References

Examples