Bayesian mixture models for copy number polymorphisms

Vignettes

- README.md
- Identifying Copy Number Polymorphisms
- Implementation of Bayesian mixture models for copy number estimation
- Overview of CNPBayes package
- Overview of CNPBayes package
- Identifying Copy Number Polymorphisms
- Implementation of Bayesian mixture models for copy number estimation
- Inspecting Convergence of a Model
- Overview of CNPBayes package

92

**bic-method:**Calculate BIC of a model**ggplot-functions:**Trace plots of MCMC chains and mixture model densities**logPrior-method:**Calculate log likelihood of prior for model**mcmcParams-method:**Retrieve MCMC parameters from model.**mu-method:**Retrieve overall mean**p:**Retrieve mixture proportions.**sigma2.0-method:**Retrieve the rate parameter for the sigma.2 distribution.**Browse all...**

Popular Man pages

671

Popular API

tauc
MarginalModel-class
BatchModel-class
DensityBatchModel-class
BatchModel-class
MarginalModel-class
DensityBatchModel-class

62

Popular Source code

tests/testthat/test_SingleBatchPooled.R
tests/testthat/test_copynumber-models.R
tests/testthat/test_Constructors.R
tests/testthat/test_marginal_likelihood.R
tests/testthat/test_currentExtData.R
tests/testthat/test_starting_values.R
tests/testthat/test_MultiBatchPooled.R

Description Usage Arguments Value Examples

View source: R/methods-MixtureModel.R

Retrieve overall standard deviation averaged across MCMC simulations.

1 | ```
tauMean(object)
``` |

`object` |
an object of class MarginalModel or BatchModel |

A vector of size 1 or number of batches

1 |

CNPBayes documentation built on May 2, 2018, 3:57 a.m.

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