rmvnorm_prec: Multivariate Normal Random Deviates using Sparse Precision
In tinyVAST: Multivariate Spatio-Temporal Models using Structural Equations
rmvnorm_prec R Documentation
Multivariate Normal Random Deviates using Sparse Precision
Description
This function provides a random number generator for
the multivariate normal distribution with mean equal
to mu and sparse precision matrix prec.
Usage
rmvnorm_prec(prec, n = 1, mu = rep(0, nrow(prec)))
Arguments
prec
sparse precision (inverse-covariance) matrix.
n
number of observations.
mu
mean vector.
Value
a matrix with dimension length(mu) by
n, containing realized draws from the specified
mean and precision
tinyVAST documentation built on Sept. 13, 2025, 5:07 p.m.
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| rmvnorm_prec | R Documentation |
Multivariate Normal Random Deviates using Sparse Precision
Description
This function provides a random number generator for
the multivariate normal distribution with mean equal
to mu and sparse precision matrix prec.
Usage
rmvnorm_prec(prec, n = 1, mu = rep(0, nrow(prec)))
Arguments
prec |
sparse precision (inverse-covariance) matrix. |
n |
number of observations. |
mu |
mean vector. |
Value
a matrix with dimension length(mu) by
n, containing realized draws from the specified
mean and precision
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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