Mixture of Multinomial model description class

An S4 class to represent a Multinomial model model, extends icl_model-class. 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 $L_i=\sum_d=1^DX_{id}$. This class mainly store the prior parameters value ($\alpha,\beta$) of this generative model in the following slots:

Slots

name: name of the model
alpha: Dirichlet over cluster proportions prior parameter (default to 1)
beta: Dirichlet over vocabulary prior parameter (default to 1)

Examples

new("mm")
#> An object of class "mm"
#> Slot "beta":
#> [1] 1
#> 
#> Slot "name":
#> [1] "mm"
#> 
#> Slot "alpha":
#> [1] 1
#> 
new("mm",alpha=1,beta=1)
#> An object of class "mm"
#> Slot "beta":
#> [1] 1
#> 
#> Slot "name":
#> [1] "mm"
#> 
#> Slot "alpha":
#> [1] 1
#>