nullView1D: The one-dimensional version of the nullView function
In ococrook/sugsvarsel: SUGS algorithm of Wang and Dunson (2011), SUGS VarSel algorithm Crook et al.
Description
Usage
Arguments
Value
Description
The one-dimensional version of the nullView function
Usage
1
nullView1D(X, D, N, lambda_0, nu_0, mu_0, S_0)
Arguments
X
The data matrix with observations as rows.
D
The number of variables of the data matrix.
N
The number of observations.
lambda_0
The prior value of the mean variance.
nu_0
The prior number of degrees of freedom.
mu_0
The prior mean.
S_0
The prior scale for the inverse-chisquared distribution.
Value
Returns, in log form, the marginal probability of belong to the irrelevant
partition.
ococrook/sugsvarsel documentation built on May 27, 2019, 12:12 p.m.
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Description Usage Arguments Value
Description
The one-dimensional version of the nullView function
Usage
1 | nullView1D(X, D, N, lambda_0, nu_0, mu_0, S_0)
|
Arguments
X |
The data matrix with observations as rows. |
D |
The number of variables of the data matrix. |
N |
The number of observations. |
lambda_0 |
The prior value of the mean variance. |
nu_0 |
The prior number of degrees of freedom. |
mu_0 |
The prior mean. |
S_0 |
The prior scale for the inverse-chisquared distribution. |
Value
Returns, in log form, the marginal probability of belong to the irrelevant partition.
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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