| MoM {greed} | R Documentation |
Mixture of Multinomial Model Prior description class
Description
An S4 class to represent a Mixture of Multinomial model.
Such model can be used to cluster a data matrix X with the following generative model :
\pi \sim Dirichlet(\alpha)
Z_i \sim \mathcal{M}(1,\pi)
\theta_{k} \sim Dirichlet(\beta)
X_{i.}|Z_{ik}=1 \sim \mathcal{M}(L_i,\theta_{k})
With L_i=\sum_d=1^DX_{id}. These classes mainly store the prior parameters value (\alpha,\beta) of this generative model.
The MoM-class must be used when fitting a simple Mixture of Multinomials whereas the MoMPrior-class must be sued when fitting a CombinedModels-class.
Usage
MoMPrior(beta = 1)
MoM(alpha = 1, beta = 1)
Arguments
beta |
Dirichlet over vocabulary prior parameter (default to 1) |
alpha |
Dirichlet prior parameter over the cluster proportions (default to 1) |
Value
a MoMPrior-class object
a MoM-class object
See Also
Other DlvmModels:
CombinedModels,
DcLbm,
DcSbm,
DiagGmm,
DlvmPrior-class,
Gmm,
Lca,
MoR,
MultSbm,
Sbm,
greed()
Examples
MoMPrior()
MoMPrior(beta = 0.5)
MoM()
MoM(beta = 0.5)