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 mean and sparse precision matrix Q.
Usage
rmvnorm_prec(Q, n = 1, mean = rep(0, nrow(Q)))
Arguments
Q
sparse precision (inverse-covariance) matrix.
n
number of observations.
mean
mean vector.
Value
a matrix with dimension length(mean) by
n, containing realized draws from the specified
mean and precision
tinyVAST documentation built on April 4, 2025, 2:43 a.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 mean and sparse precision matrix Q.
Usage
rmvnorm_prec(Q, n = 1, mean = rep(0, nrow(Q)))
Arguments
Q |
sparse precision (inverse-covariance) matrix. |
n |
number of observations. |
mean |
mean vector. |
Value
a matrix with dimension length(mean) 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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