sample_mvn_region: Function for obtaining sample points for an 'mvn' object that...
In queelius/algebraic.dist: Algebra over distribution (random elements) objects
sample_mvn_region R Documentation
Function for obtaining sample points for an mvn object that is within
the p-probability region. That is, it samples from the smallest region of
the distribution that contains p probability mass. This is done by first
sampling from the entire distribution, then rejecting samples that are not
in the probability region (using the statistical distance mahalanobis
from mu).
Description
Function for obtaining sample points for an mvn object that is within
the p-probability region. That is, it samples from the smallest region of
the distribution that contains p probability mass. This is done by first
sampling from the entire distribution, then rejecting samples that are not
in the probability region (using the statistical distance mahalanobis
from mu).
Usage
sample_mvn_region(n, mu, sigma, p = 0.95, ...)
Arguments
n
the sample size
mu
mean vector
sigma
variance-covariance matrix
p
the probability region
...
additional arguments to pass into mahalanobis
queelius/algebraic.dist documentation built on Jan. 27, 2025, 8:46 a.m.
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| sample_mvn_region | R Documentation |
Function for obtaining sample points for an mvn object that is within
the p-probability region. That is, it samples from the smallest region of
the distribution that contains p probability mass. This is done by first
sampling from the entire distribution, then rejecting samples that are not
in the probability region (using the statistical distance mahalanobis
from mu).
Description
Function for obtaining sample points for an mvn object that is within
the p-probability region. That is, it samples from the smallest region of
the distribution that contains p probability mass. This is done by first
sampling from the entire distribution, then rejecting samples that are not
in the probability region (using the statistical distance mahalanobis
from mu).
Usage
sample_mvn_region(n, mu, sigma, p = 0.95, ...)
Arguments
n |
the sample size |
mu |
mean vector |
sigma |
variance-covariance matrix |
p |
the probability region |
... |
additional arguments to pass into |
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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