rmvn_arma_scalar: A function for sampling from conditional multivariate normal...
In BayesMRA: Bayesian Multi-Resolution Gaussian Process Approximations
Description
Usage
Arguments
Examples
Description
A function for sampling from conditional multivariate normal distributions with mean A^-1b and covariance matrix A^-1.
Usage
1
rmvn_arma_scalar(a, b)
Arguments
a
a A scalar for the Gaussian full conditional distribution precision.
b
b A d vector for the Gaussian full conditional distribution mean.
Examples
1
2
3
4
set.seed(111)
a <- 4
b <- rnorm(1)
sample <- rmvn_arma_scalar(a, b)
BayesMRA documentation built on Aug. 18, 2020, 5:08 p.m.
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Description Usage Arguments Examples
Description
A function for sampling from conditional multivariate normal distributions with mean A^-1b and covariance matrix A^-1.
Usage
1 | rmvn_arma_scalar(a, b)
|
Arguments
a |
|
b |
|
Examples
1 2 3 4 | set.seed(111)
a <- 4
b <- rnorm(1)
sample <- rmvn_arma_scalar(a, b)
|
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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