miraculix: Algebraic and Statistical Functions for Genetics

This is a collection of fast tools for application in quantitative genetics. For instance, the SNP matrix can be stored in a minimum of memory and the calculation of the genomic relationship matrix is based on a rapid algorithm. It also contains the window scanning approach by Kabluchko and Spodarev (2009), <doi:10.1239/aap/1240319575> to detect anomalous genomic areas <doi:10.1186/s12864-018-5009-y>. Furthermore, the package is used in the Modular Breeding Program Simulator (MoBPS, <https://github.com/tpook92/MoBPS>, <http://www.mobps.de/>). The tools are based on SIMD (Single Instruction Multiple Data, <https://en.wikipedia.org/wiki/SIMD>) and OMP (Open Multi-Processing, <https://de.wikipedia.org/wiki/OpenMP>).

Version: 0.9.4
Depends: R (≥ 3.0), RandomFieldsUtils (≥ 0.5.3)
Imports: methods, graphics
LinkingTo: RandomFieldsUtils
Published: 2019-09-12
Author: Martin Schlather [aut, cre], Malena Erbe [aut, cre], Florian Skene [aut], Alexander Freudenberg [ctr]
Maintainer: Martin Schlather <schlather at math.uni-mannheim.de>
License: GPL (≥ 3)
URL: http://ms.math.uni-mannheim.de/de/publications/software/miraculix
NeedsCompilation: yes
Citation: miraculix citation info
CRAN checks: miraculix results

Downloads:

Reference manual: miraculix.pdf
Package source: miraculix_0.9.4.tar.gz
Windows binaries: r-devel: miraculix_0.9.4.zip, r-release: miraculix_0.9.4.zip, r-oldrel: miraculix_0.9.4.zip
OS X binaries: r-release: miraculix_0.9.4.tgz, r-oldrel: miraculix_0.9.4.tgz

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