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hscovar

0.4.2Package record

Calculation of Covariance Between Markers for Half-Sib Families

0packages depend
2.6Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
13OK
Slowest check: 1.8 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-30
  • ERROR13 OK, 1 ERROR2026-03-10
Advisories

none known

Documentation

In release 0.4.2
READMENoVignettesNoNEWSYes · 100% structured · does not mention 0.4.2Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
19
Examples that run
93%14 run in a plain check · 1 never run
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
26%

Downloads

2.6K
CRAN downloads in the past year
Rank #16,023 · ~7/day · ~217/mo
Daily download trend is not available in this view yet.
29030 days
78590 days
2.6K1 year
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Also on68 r2u3 autocran

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)

Installing hscovar adds 8 packages (4 with compiled code, 8.2 MB of source tarballs). Heaviest: data.table 5.7 MB, jsonlite 1.0 MB, XML 937 KB.

Depends (1)
R >= 3.5.0
Imports (5)
parallelMatrixforeachrlistpwr
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Author, Maintainer since 0.1.2 (2020)
Contributor
Releases (4)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 0.4.2Latest
    record
    2021-04-13 · current release · diff ↗
  • 0.4.0
    record
    2020-08-06 · diff ↗ ·
    removed 1 export
    coeff.beta.k
  • R
    R 4.0.0 released · 2020-04-24
  • 0.2.1
    record
    2020-04-16 · diff ↗ ·
    added 8 exports
    AR1, calcvar, coeff.beta.k, pwr.normtest, pwr.snpblup, search.best.n.bisection, simpleM, startvalue
  • 0.1.2
    record
    2020-03-04
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2020-03-04
Total releases
4 / 6 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.5.0
Bundled data
143 KB / 1 file
Download size
179 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("hscovar")
Wittenburg, D., Doschoris, M., & Klosa, J. (2021). hscovar: Calculation of Covariance Between Markers for Half-Sib Families (Version 0.4.2) [Computer software]. https://doi.org/10.32614/CRAN.package.hscovar

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for hscovar version 0.4.2 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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