Find-Vertices: Compute vertices for Mixture Link
In mixlink: Mixture Link Regression

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.

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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

mixlink documentation built on May 2, 2019, 5:11 a.m.