Description Usage Arguments Details Value References
Find vertices of the set A(\vartheta, \bm{π}), which characterizes link between finite mixture mean and regression function.
1 2 3 | find.vertices.prob(mean, Pi, tol = 1e-08)
find.vertices.nonneg(mean, Pi)
|
mean |
Parameter \vartheta of distribution. |
Pi |
Parameter \bm{π} of distribution. |
tol |
A tolerance to determine if candidate vertices are distinct. |
For Mixture Link Binomial, the set A(\vartheta, \bm{π}) = \{ \bm{μ} \in [0,1]^J : \bm{μ}^T \bm{π} = \vartheta \}. For Mixture Link Poisson, the set A(\vartheta, \bm{π}) = \{ \bm{μ} \in [0,∞]^J : \bm{μ}^T \bm{π} = \vartheta \}.
A J \times k matrix whose columns are the vertices of A(\vartheta, \bm{π}).
Andrew M. Raim, Nagaraj K. Neerchal, and Jorge G. Morel. An Extension of Generalized Linear Models to Finite Mixture Outcomes. arXiv preprint: 1612.03302
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