theta {CNPBayes} | R Documentation |
The interpretation of theta
depends on whether object
is a MarginalModel
or a BatchModel
. For
BatchModel
, theta
is a matrix of size B x K, where B is
the number of batches and K is the number of components.
Each column of the theta
matrix can be interpreted as the
batch means for a particular component. For objects of class
MarginalModel
(assumes no batch effect), theta
is a
vector of length K. Each element of theta
can be interpreted
as the mean for a component. See the following examples for accessing
the current value of theta
from a MixtureModel
-derived
object, and for plotting the chain of theta
values.
theta(object) ## S4 method for signature 'McmcChains' theta(object) ## S4 method for signature 'MixtureModel' theta(object)
object |
see |
A vector of length number of components or a matrix of size number of batches x number of components
## MarginalModel ## Not run: k(SingleBatchModelExample) theta(SingleBatchModelExample) plot.ts(theta(chains(SingleBatchModelExample))) ## BatchModel k(MultiBatchModelExample) length(unique(batch(MultiBatchModelExample))) theta(MultiBatchModelExample) ## Plot means for batches in one component plot.ts(theta(chains(MultiBatchModelExample))[, 1:3]) ## End(Not run)