High Density Genetic Linkage Mapping using Multidimensional Scaling [R package MDSMap version 1.3]

MDSMap: High Density Genetic Linkage Mapping using Multidimensional Scaling

Estimate genetic linkage maps for markers on a single chromosome (or in a single linkage group) from pairwise recombination fractions or intermarker distances using weighted metric multidimensional scaling. The methods are suitable for autotetraploid as well as diploid populations. Options for assessing the fit to a known map are also provided. Methods are discussed in detail in Preedy and Hackett (2016) <doi:10.1007/s00122-016-2761-8>.

Version: 1.3

Depends: R (≥ 3.2.0)

Imports: smacof (≥ 1.9.0), princurve (≥ 2.0.2), rgl, reshape

Suggests: qtl, R.rsp

Published: 2025年04月28日

DOI: 10.32614/CRAN.package.MDSMap

Author: Katharine F. Preedy [aut], Christine A. Hackett [aut], Bram Boskamp [cre]

Maintainer: Bram Boskamp <bram.boskamp at bioss.ac.uk>

License: GPL-3 | file LICENSE

NeedsCompilation: no

CRAN checks: MDSMap results

Documentation:

Reference manual: MDSMap.html , MDSMap.pdf

Vignettes: MDSMap: High Density Linkage Maps using Multi-Dimensional Scaling (source)

Downloads:

Package source: MDSMap_1.3.tar.gz

Windows binaries: r-devel: MDSMap_1.3.zip, r-release: MDSMap_1.3.zip, r-oldrel: MDSMap_1.3.zip

macOS binaries: r-release (arm64): MDSMap_1.3.tgz, r-oldrel (arm64): MDSMap_1.3.tgz, r-release (x86_64): MDSMap_1.3.tgz, r-oldrel (x86_64): MDSMap_1.3.tgz

Old sources: MDSMap archive

Reverse dependencies:

Reverse imports: polymapR

Linking:

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