fast_generate_mvn: A fast way to generate data from multivariate Gaussian...
In Katsevich-Lab/katlabutils: Utility functions broadly useful for Katsevich Lab research
View source: R/data-generation.R
fast_generate_mvn R Documentation
A fast way to generate data from multivariate Gaussian distribution
Description
A fast way to generate data from multivariate Gaussian distribution
Usage
fast_generate_mvn(mean, covariance, num_samples)
Arguments
mean
The mean vector of MVN.
covariance
The covariance matrix of MVN.
num_samples
The number of samples to generate
Value
A matrix with sum_samples rows and d = ncol(covariance)
columns, such that each row is drawn i.i.d. from the multivariate normal
specified by the arguments.
Katsevich-Lab/katlabutils documentation built on Aug. 7, 2024, 4:55 p.m.
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View source: R/data-generation.R
| fast_generate_mvn | R Documentation |
A fast way to generate data from multivariate Gaussian distribution
Description
A fast way to generate data from multivariate Gaussian distribution
Usage
fast_generate_mvn(mean, covariance, num_samples)
Arguments
mean |
The mean vector of MVN. |
covariance |
The covariance matrix of MVN. |
num_samples |
The number of samples to generate |
Value
A matrix with sum_samples rows and d = ncol(covariance)
columns, such that each row is drawn i.i.d. from the multivariate normal
specified by the arguments.
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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