perm: Forward selection w/ permutation test

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

Forward selection w/ permutation test

Description

Analyze a backcross using forward selection with permutation tests to choose the size of the model.

Usage

perm(dat, n.perm=1000, alpha=0.05)

Arguments

dat	The data: a list with components geno (the genotype data, as a matrix) and pheno (the phenotype data, as a vector).
n.perm	Number of permutation replicates to perform at each state.
alpha	Level of significance to use in each permutation test.

Value

A vector of marker indices.

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

anal.all, anal.leaps, anal.mcmc, simbc

Examples

## Not run: dat <- simbc()
## Not run: results <- perm(dat)

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