rmnorm: Random Multivariate Normal Generator
In wzhorton/hortonlib: Collection of Useful Functions
Description
Usage
Arguments
Value
Description
Generates a normally distributed vector given a mean vector and
either a covariance matrix or a precision matrix. Computationally, this method
has an advantage since an inverse is never taken.
Usage
1
Arguments
mu
mean vector.
cov
covariance matrix.
prec
precision matrix.
Value
A randomly generated vector with the same length as mu.
wzhorton/hortonlib documentation built on May 9, 2019, 8:19 a.m.
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Description Usage Arguments Value
Description
Generates a normally distributed vector given a mean vector and either a covariance matrix or a precision matrix. Computationally, this method has an advantage since an inverse is never taken.
Usage
1 |
Arguments
mu |
mean vector. |
cov |
covariance matrix. |
prec |
precision matrix. |
Value
A randomly generated vector with the same length as mu.
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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