hexmarkers.overdisp: Simulated overdispersed autopolyploid dominant markers from...
In polySegratioMM: Bayesian Mixture Models for Marker Dosage in Autopolyploids
hexmarkers.overdisp R Documentation
Simulated overdispersed autopolyploid dominant markers from 200 hexaploid individuals
Description
These data are simulated as 500 markers for 200 “auto–hexaploid
individuals” exhibiting overdispersion with the parameter shape1 =
25. The underlying percentages of single double and triple dose
markers are 70%, 20% and 10%, respectively.
Usage
hexmarkers.overdisp
Format
An object of S3 class sim.autoMarkers containing 500
simulated dominant markers for 200 auto–hexaploid individuals.
References
Haldane, J B S. 1930. Theoretical genetics of autopolyploids.
Journal of Genetics 22: 359-372.
Baker P, Jackson P, and Aitken K. 2010. Bayesian estimation of marker
dosage in sugarcane and other autopolyploids. TAG Theoretical and
Applied Genetics 120 (8): 1653-1672.
polySegratioMM documentation built on Feb. 25, 2026, 5:08 p.m.
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| hexmarkers.overdisp | R Documentation |
Simulated overdispersed autopolyploid dominant markers from 200 hexaploid individuals
Description
These data are simulated as 500 markers for 200 “auto–hexaploid individuals” exhibiting overdispersion with the parameter shape1 = 25. The underlying percentages of single double and triple dose markers are 70%, 20% and 10%, respectively.
Usage
hexmarkers.overdispFormat
An object of S3 class sim.autoMarkers containing 500
simulated dominant markers for 200 auto–hexaploid individuals.
References
Haldane, J B S. 1930. Theoretical genetics of autopolyploids. Journal of Genetics 22: 359-372.
Baker P, Jackson P, and Aitken K. 2010. Bayesian estimation of marker dosage in sugarcane and other autopolyploids. TAG Theoretical and Applied Genetics 120 (8): 1653-1672.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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