mvrnormArma_tempered: Simulate from a tempered Multivariate Gaussian Distribution
In rchan26/BayesLogitFusion: Monte Carlo Fusion for Bayesian Logistic Regression
Description
Usage
Arguments
Value
Description
Produces samples from the specified tempered multivariate Gaussian distribution
Usage
1
mvrnormArma_tempered(N, mu, Sigma, beta)
Arguments
N
the number of samples required
mu
a vector of mean values
Sigma
positive-definite symmetric matrix specifying the covariance of variables
beta
inverse temperature level
Value
samples from a tempered multivariate Gaussian distribution
rchan26/BayesLogitFusion documentation built on June 13, 2020, 5:03 a.m.
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Description Usage Arguments Value
Description
Produces samples from the specified tempered multivariate Gaussian distribution
Usage
1 | mvrnormArma_tempered(N, mu, Sigma, beta)
|
Arguments
N |
the number of samples required |
mu |
a vector of mean values |
Sigma |
positive-definite symmetric matrix specifying the covariance of variables |
beta |
inverse temperature level |
Value
samples from a tempered multivariate Gaussian 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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