SingleBatchModel2 {CNPBayes} | R Documentation |
This creates a MultiBatchModel object with a single batch.
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))
dat |
numeric vector of average log R ratios |
hp |
an object of class |
mp |
an object of class |
An instance of MultiBatchModel
An instance of MultiBatchModel
SB() SB(dat=rnorm(100), hpList(k=2)[["SB"]]) ## pooled variance model SingleBatchPooled() ## or, equivalently SBP()