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>.

Manage, Analyse and Simulate Hyperspectral Data in R
Lukas W. Lehnert [cre, aut],
Hanna Meyer [ctb],
Joerg Bendix [ctb]
R (>= 2.10.0), sp, raster, rgdal, rootSolve, signal, methods
Transformation of reflectance spectra, calculation of vegetation indices and red edge parameters, spectral resampling for hyperspectral remote sensing, simulation of reflectance and transmittance using PROSPECT and PROSAIL.

Transformation of reflectance spectra, calculation of vegetation indices and red edge parameters, spectral resampling for hyperspectral remote sensing, simulation of reflectance and transmittance using the leaf reflectance model PROSPECT and the canopy reflectance model PROSAIL.

Manage, Analyse and Simulate Hyperspectral Data

Lukas W. Lehnert [cre, aut],
Hanna Meyer [aut],
Joerg Bendix [aut]

R (>= 2.10.0), raster, rgdal, rootSolve, signal, methods,
caret

R (>= 3.3.1), raster (>= 2.5-8), rgdal (>= 1.1-10), rootSolve,
signal, methods, caret

rgl, RCurl, pracma (>= 2.0.1), foreach, hyperSpec

rgl (>= 0.98.1), RCurl, pracma (>= 2.0.1), foreach, hyperSpec