rmvn_arma_scalar: A function for sampling from conditional multivariate normal...
In jtipton25/BayesMRA: Bayesian Multi-Resolution Gaussian Process Approximations
rmvn_arma_scalar R Documentation
A function for sampling from conditional multivariate normal distributions with mean A^-1b and covariance matrix A^-1.
Description
A function for sampling from conditional multivariate normal distributions with mean A^-1b and covariance matrix A^-1.
Usage
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
set.seed(111)
a <- 4
b <- rnorm(1)
sample <- rmvn_arma_scalar(a, b)
jtipton25/BayesMRA documentation built on Feb. 28, 2024, 1:27 p.m.
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| rmvn_arma_scalar | R Documentation |
A function for sampling from conditional multivariate normal distributions with mean A^-1b and covariance matrix A^-1.
Description
A function for sampling from conditional multivariate normal distributions with mean A^-1b and covariance matrix A^-1.
Usage
rmvn_arma_scalar(a, b)
Arguments
a |
|
b |
|
Examples
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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