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 |
DOI: | 10.32614/CRAN.package.MDSMap |
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 |
Reference manual: | MDSMap.pdf |
Vignettes: |
MDSMap: High Density Linkage Maps using Multi-Dimensional Scaling |
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 imports: | polymapR |
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