Package: hscovar 0.4.2

hscovar: Calculation of Covariance Between Markers for Half-Sib Families

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>.

Authors:Dörte Wittenburg [aut, cre], Michael Doschoris [aut], Jan Klosa [ctb]

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NEWS

# Install 'hscovar' in R:
install.packages('hscovar', repos = c('https://wittenburg.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • H.sire - Testdata: sire haplotypes
  • matLD - Testdata: maternal linkage disequilibrium
  • pos.chr - Testdata: genetic map positions

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

14 exports 0.00 score 11 dependencies 2 scripts 169 downloads

Last updated 3 years agofrom:4d08292cdd. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 28 2024
R-4.5-winOKAug 28 2024
R-4.5-linuxOKAug 28 2024
R-4.4-winOKAug 28 2024
R-4.4-macOKAug 28 2024
R-4.3-winOKAug 28 2024
R-4.3-macOKAug 28 2024

Exports:AR1calcvarCovarMatrixCovMatExpectMatHaplo2GenoLDdamLDsirepwr.normtestpwr.snpblupsearch.best.n.bisectionsimpleMstartvaluetagSNP

Dependencies:codetoolsdata.tableforeachiteratorsjsonlitelatticeMatrixpwrrlistXMLyaml