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polySegratioMM: Bayesian Mixture Models for Marker Dosage in Autopolyploids

Fits Bayesian mixture models to estimate marker dosage for dominant markers in autopolyploids using JAGS (1.0 or greater) as outlined in Baker et al "Bayesian estimation of marker dosage in sugarcane and other autopolyploids" (2010, <doi:10.1007/s00122-010-1283-z>). May be used in conjunction with polySegratio for simulation studies and comparison with standard methods.

Version: 0.6-4
Depends: R (≥ 2.12.0), polySegratio
Imports: gtools, coda, lattice
Published: 2018-03-23
DOI: 10.32614/CRAN.package.polySegratioMM
Author: Peter Baker [aut, cre]
Maintainer: Peter Baker <p.baker1 at uq.edu.au>
BugReports: https://github.com/petebaker/polysegratiomm/issues
License: GPL-3
URL: https://github.com/petebaker/polysegratiomm
NeedsCompilation: no
Citation: polySegratioMM citation info
Materials: README ChangeLog
CRAN checks: polySegratioMM results

Documentation:

Reference manual: polySegratioMM.pdf
Vignettes: polySegratioMM

Downloads:

Package source: polySegratioMM_0.6-4.tar.gz
Windows binaries: r-devel: polySegratioMM_0.6-4.zip, r-release: polySegratioMM_0.6-4.zip, r-oldrel: polySegratioMM_0.6-4.zip
macOS binaries: r-release (arm64): polySegratioMM_0.6-4.tgz, r-oldrel (arm64): polySegratioMM_0.6-4.tgz, r-release (x86_64): polySegratioMM_0.6-4.tgz, r-oldrel (x86_64): polySegratioMM_0.6-4.tgz
Old sources: polySegratioMM archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.