compsugsStats1D: A function to compute statistics and posterior given...
In ococrook/sugsvarsel: SUGS algorithm of Wang and Dunson (2011), SUGS VarSel algorithm Crook et al.
Description
Usage
Arguments
Value
Description
A function to compute statistics and posterior given clustering and priors
Usage
1
compsugsStats1D(n, nu_0, lambda_0, mu_0, S_0, member, mydata, numclust)
Arguments
n
The vector indicating the number of observations in each cluster
nu_0
The prior degrees of freedom
lambda_0
The prior mean variance
mu_0
The prior mean
S_0
The prior scale vector
member
A vector of cluster membership allocaations
mydata
Data matrix with observations as rows.
numclust
The total number of occupied clusters
Value
The posterior hyperparameters for the normal inverse chisquared distribution
ococrook/sugsvarsel documentation built on May 27, 2019, 12:12 p.m.
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Description Usage Arguments Value
Description
A function to compute statistics and posterior given clustering and priors
Usage
1 | compsugsStats1D(n, nu_0, lambda_0, mu_0, S_0, member, mydata, numclust)
|
Arguments
n |
The vector indicating the number of observations in each cluster |
nu_0 |
The prior degrees of freedom |
lambda_0 |
The prior mean variance |
mu_0 |
The prior mean |
S_0 |
The prior scale vector |
member |
A vector of cluster membership allocaations |
mydata |
Data matrix with observations as rows. |
numclust |
The total number of occupied clusters |
Value
The posterior hyperparameters for the normal inverse chisquared distribution
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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