qsample: Sample from a multivariate normal with mean and precision
In BayesfMRI: Spatial Bayesian Methods for Task Functional MRI Studies
View source: R/BayesGLM2_Bayes_utils.R
qsample R Documentation
Sample from a multivariate normal with mean and precision
Description
Sample from a multivariate normal with mean and precision
Usage
qsample(n, mu, Q)
Arguments
n
number of samples
mu
mean vector (length = p)
Q
sparse p x p positive definite precision matrix (class = dgCMatrix)
Value
An n x p matrix of samples
BayesfMRI documentation built on April 4, 2025, 1:58 a.m.
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View source: R/BayesGLM2_Bayes_utils.R
| qsample | R Documentation |
Sample from a multivariate normal with mean and precision
Description
Sample from a multivariate normal with mean and precision
Usage
qsample(n, mu, Q)
Arguments
n |
number of samples |
mu |
mean vector (length = p) |
Q |
sparse p x p positive definite precision matrix (class = dgCMatrix) |
Value
An n x p matrix of samples
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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