anal.all: Analyze a backcross

In kbroman/qtlsim: Software for Testing QTL Analysis via Simulations

Analyze a backcross

Description

Analyze a backcross using ANOVA, CIM, and forward selection.

Usage

anal.all(dat, cim.steps=7, max.steps=20)

Arguments

dat	The data: a list with components geno (the genotype data, as a matrix) and pheno (the phenotype data, as a vector).
cim.steps	Number of steps in forward selection prior to CIM analysis.
max.steps	Maximum number of steps in forward selection.

Value

A list with three components: LOD scores from ANOVA, LOD scores from CIM, and a matrix of marker indices and RSS from forward selection

Author(s)

Karl W Broman, [e-mail]

References

Broman, K. W. (1997) Identifying quantitative trait loci in experimental crosses. PhD dissertation, Department of Statistics, University of California, Berkeley.

See Also

simbc, anal.leaps, anal.mcmc, perm

Examples

dat <- simbc()
results <- anal.all(dat)

kbroman/qtlsim documentation built on May 17, 2023, 11:53 p.m.