Bernoulli_Uniform: Bernoulli-Uniform model prior
In BayesS5: Bayesian Variable Selection Using Simplified Shotgun Stochastic Search with Screening (S5)
Description
Usage
Arguments
References
See Also
Examples
View source: R/Bernoulli_Uniform.R
Description
A mixture model prior with Bernoulli and uniform densities. See Scott and Berger (2010) for details.
Usage
1
Bernoulli_Uniform(ind,p)
Arguments
ind
an index set of variables in a model
p
the total number of covariates
References
Scott, James G., and James O. Berger. "Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem." The Annals of Statistics 38.5 (2010): 2587-2619.
See Also
Examples
1
2
3
4
p = 5000
ind = 1:3
m = Bernoulli_Uniform(ind,p)
print(m)
Example output
[1] -32.27661
BayesS5 documentation built on March 26, 2020, 7:14 p.m.
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Description Usage Arguments References See Also Examples
View source: R/Bernoulli_Uniform.R
Description
A mixture model prior with Bernoulli and uniform densities. See Scott and Berger (2010) for details.
Usage
1 | Bernoulli_Uniform(ind,p)
|
Arguments
ind |
an index set of variables in a model |
p |
the total number of covariates |
References
Scott, James G., and James O. Berger. "Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem." The Annals of Statistics 38.5 (2010): 2587-2619.
See Also
Examples
1 2 3 4 | p = 5000
ind = 1:3
m = Bernoulli_Uniform(ind,p)
print(m)
|
Example output
[1] -32.27661
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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