coeff.beta.k

index of selected regression coefficient

(LEN p) vector of regression coefficients

beta.true

lambda

eigenvalue decomposition of (p x p) correlation matrix
<code>R</code>

eigendec

vector (LEN p) of SNP-specific weights or scalar if weights
are equal for all SNPs; default value 1

weights

The ratio of expected value to standard deviation is calculated
 for the estimator of a selected regression coefficient.

The theoretical covariance between pairs of markers is calculated
from either paternal haplotypes and maternal linkage disequilibrium (LD) or
vise versa. A genetic map is required. Grouping of markers is based on the
correlation matrix and a representative marker is suggested for each group.
Employing the correlation matrix, optimal sample size can be derived for
association studies based on a SNP-BLUP approach.
The implementation relies on paternal half-sib families and biallelic
markers. If maternal half-sib families are used, the roles of sire/dam are
swapped. Multiple families can be considered.
Wittenburg, Bonk, Doschoris, Reyer (2020) "Design of Experiments for
Fine-Mapping Quantitative Trait Loci in Livestock Populations"
<doi:10.1186/s12863-020-00871-1>.
Carlson, Eberle, Rieder, Yi, Kruglyak, Nickerson (2004) "Selecting a
maximally informative set of single-nucleotide polymorphisms for association
analyses using linkage disequilibrium" <doi:10.1086/381000>.

coeff.beta.k: Ratio of expected value to variance of estimator

Description

Usage

Arguments

Value