sugsnewclustMarg: Computes the marginal probability of an observation belonging...
In ococrook/sugsvarsel: SUGS algorithm of Wang and Dunson (2011), SUGS VarSel algorithm Crook et al.
Description
Usage
Arguments
Value
Description
Computes the marginal probability of an observation belonging to a currently unoccupied cluster.
Usage
1
sugsnewclustMarg(x, i, D, phi, betaHat, mu_0, lambda_0, nu_0, S_0, intfeatures)
Arguments
x
The observation currently underconsideration.
i
The current iteration state of the algorithm.
D
The number of variable in the data matrix.
phi
The probability weights of beteHat.
betaHat
The grid of concentration parameters.
mu_0
The prior mean.
lambda_0
The prior mean variance.
nu_0
The prior degrees of freedom.
S_0
The prior scale vector.
intfeatures
A binary vector indicating whether features are irrelevant (0) or relevant (1).
Value
The unnormalised probability of belong to any of the currently unoccupied clusters.
ococrook/sugsvarsel documentation built on May 27, 2019, 12:12 p.m.
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Description Usage Arguments Value
Description
Computes the marginal probability of an observation belonging to a currently unoccupied cluster.
Usage
1 | sugsnewclustMarg(x, i, D, phi, betaHat, mu_0, lambda_0, nu_0, S_0, intfeatures)
|
Arguments
x |
The observation currently underconsideration. |
i |
The current iteration state of the algorithm. |
D |
The number of variable in the data matrix. |
phi |
The probability weights of |
betaHat |
The grid of concentration parameters. |
mu_0 |
The prior mean. |
lambda_0 |
The prior mean variance. |
nu_0 |
The prior degrees of freedom. |
S_0 |
The prior scale vector. |
intfeatures |
A binary vector indicating whether features are irrelevant (0) or relevant (1). |
Value
The unnormalised probability of belong to any of the currently unoccupied clusters.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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