SingleBatchModel: Constructors for SB and SBP models

In CNPBayes: Bayesian mixture models for copy number polymorphisms

Description

This creates a MultiBatchModel object with a single batch.

Usage

SingleBatchModel2(dat = numeric(), hp = Hyperparameters(),
  mp = McmcParams(iter = 1000, burnin = 1000, thin = 10, nStarts = 4))

SB(dat = numeric(), hp = Hyperparameters(), mp = McmcParams(iter =
  1000, burnin = 1000, thin = 10, nStarts = 4))

SingleBatchPooled(dat = numeric(), hp = Hyperparameters(),
  mp = McmcParams(iter = 1000, burnin = 1000, thin = 10, nStarts = 4))

SBP(dat = numeric(), hp = Hyperparameters(), mp = McmcParams(iter =
  1000, burnin = 1000, thin = 10, nStarts = 4))

Arguments

dat	numeric vector of average log R ratios
hp	an object of class Hyperparameters
mp	an object of class McmcParams

Value

An instance of MultiBatchModel

An instance of MultiBatchModel

See Also

MultiBatchModel2

MultiBatchModel2

Examples

SB()
SB(dat=rnorm(100), hpList(k=2)[["SB"]])
## pooled variance model
SingleBatchPooled()
## or, equivalently
SBP()

CNPBayes documentation built on May 6, 2019, 4:06 a.m.