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: 1.0
Depends: R (≥ 3.2.0)
Imports: smacof (≥ 1.9.0), princurve, rgl, reshape
Suggests: qtl, R.rsp
Published: 2017-11-29
Author: Katharine F. Preedy
Maintainer: Bram Boskamp <bram.boskamp at bioss.ac.uk>
License: GPL-3 | file LICENSE
NeedsCompilation: no
CRAN checks: MDSMap results

Downloads:

Reference manual: MDSMap.pdf
Vignettes: MDSMap: High Density Linkage Maps using Multi-Dimensional Scaling
Package source: MDSMap_1.0.tar.gz
Windows binaries: r-devel: MDSMap_1.0.zip, r-release: MDSMap_1.0.zip, r-oldrel: MDSMap_1.0.zip
OS X El Capitan binaries: r-release: MDSMap_1.0.tgz
OS X Mavericks binaries: r-oldrel: MDSMap_1.0.tgz

Reverse dependencies:

Reverse imports: polymapR

Linking:

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