Description Usage Arguments Value See Also Examples

The interpretation of `tau2`

depends on whether `object`

is a `MarginalModel`

or a `BatchModel`

. For
`BatchModel`

, `tau2`

is a vector with length equal to the
number of components. Each element of the `tau2`

vector can
be interpreted as the within-component variance of the batch means
(`theta`

). For objects of class `MarginalModel`

(assumes no batch effect), `tau2`

is a length-one vector that
describes the variance of the component means between batches. The
hyperparameters of `tau2`

are `eta.0`

and `m2.0`

. See the
following examples for setting the hyperparameters, accessing the current
value of `tau2`

from a `MixtureModel`

-derived object, and
for plotting the chain of `tau2`

values.

1 2 3 4 5 6 7 8 9 10 |

`object` |
see |

A vector of variances

1 2 3 |

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

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