mcmcHexRun: Results of MCMC estimation for simulated overdispersed...
In polySegratioMM: Bayesian Mixture Models for Marker Dosage in Autopolyploids
Description
Usage
Format
References
Description
MCMC was performed using the wrapper function
runSegratioMM to
run JAGS for a Bayesian mixture model on the segregation ratios
obtained using the simulated data hexmarkers.overdisp. These
data were simulated as 500 markers for 200 “auto–hexaploid
individuals” exhibiting overdispersion with shape1=25. The underlying
percentages of single double and triple dose markers are 70%, 20% and
10%, respectively.
Usage
1
Format
An object of S3 class runJagsWrapper with various
components including summaries and diagnostics.
References
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 May 2, 2019, 9:49 a.m.
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Description Usage Format References
Description
MCMC was performed using the wrapper function
runSegratioMM to
run JAGS for a Bayesian mixture model on the segregation ratios
obtained using the simulated data hexmarkers.overdisp. These
data were simulated as 500 markers for 200 “auto–hexaploid
individuals” exhibiting overdispersion with shape1=25. The underlying
percentages of single double and triple dose markers are 70%, 20% and
10%, respectively.
Usage
1 |
Format
An object of S3 class runJagsWrapper with various
components including summaries and diagnostics.
References
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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