mv_norm: Sampling from multivariate normal distribution
In MendelianRandomization: Mendelian Randomization Package
View source: R/mr_mvivwme-methods.R
mv_norm R Documentation
Sampling from multivariate normal distribution
Description
Sampling from multivariate normal distribution
Usage
mv_norm(n, mu, Sigma)
Arguments
n
Number of draws.
mu
Mean vector.
Sigma
Covariance matrix.
Details
None.
Value
Random vector of length n.
Examples
mv_norm(1, 0.2, matrix(0.1))
MendelianRandomization documentation built on May 29, 2024, 11:36 a.m.
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View source: R/mr_mvivwme-methods.R
| mv_norm | R Documentation |
Sampling from multivariate normal distribution
Description
Sampling from multivariate normal distribution
Usage
mv_norm(n, mu, Sigma)
Arguments
n |
Number of draws. |
mu |
Mean vector. |
Sigma |
Covariance matrix. |
Details
None.
Value
Random vector of length n.
Examples
mv_norm(1, 0.2, matrix(0.1))
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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