Description Usage Arguments Value References Examples
This function carries out Bayesian functional ANOVA using the Normal Inverse Gamma Markov Grove method of Ma and Soriano (2016).
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W |
An object of class |
X |
Design matrix. |
formula |
An object of class formula. |
nu |
Hyperparameter controlling the heterogeneity in the noise variance. |
is.kappa.fixed |
If |
gamma.kappa |
Hyperparameter for the MT transition matrix. |
eta.kappa |
Hyperparameter for the MT transition matrix. |
n.samples |
Number of posterior draws. |
transition.mode |
Type of transition. The two options are |
method |
Method used for find maxmimum of marginal likelihood. |
An object of class grove
.
Ma L. and Soriano J. (2016) Efficient functional ANOVA through wavelet-domain Markov groves. arXiv:1602.03990v2 [stat.ME] (https://arxiv.org/abs/1602.03990v2).
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