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:	1.1
Depends:	R (≥ 3.2.0)
Imports:	smacof (≥ 1.9.0), princurve (≥ 2.1.2), rgl, reshape
Suggests:	qtl, R.rsp
Published:	2018-08-09
Author:	Katharine F. Preedy, Christine A. Hackett
Maintainer:	Bram Boskamp <bram.boskamp at bioss.ac.uk>
License:	GPL-3 | file LICENSE
NeedsCompilation:	no
CRAN checks:	MDSMap results

Documentation:

Reference manual:	MDSMap.pdf
Vignettes:	MDSMap: High Density Linkage Maps using Multi-Dimensional Scaling

Downloads:

Package source:	MDSMap_1.1.tar.gz
Windows binaries:	r-devel: MDSMap_1.1.zip, r-release: MDSMap_1.1.zip, r-oldrel: MDSMap_1.1.zip
macOS binaries:	r-release (arm64): MDSMap_1.1.tgz, r-oldrel (arm64): MDSMap_1.1.tgz, r-release (x86_64): MDSMap_1.1.tgz, r-oldrel (x86_64): MDSMap_1.1.tgz
Old sources:	MDSMap archive

Reverse dependencies:

Reverse imports:

polymapR

Linking:

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