rvmc: Generate a random variate from the von Mises distribution
In keesmulder/circglmbayes: Bayesian Analysis of a Circular GLM
rvmc R Documentation
Generate a random variate from the von Mises distribution
Description
This function generates a set of data from the von Mises distribution.
If kappa is very small, return a circular uniform draw, as otherwise the
algorithm will fail.
Usage
rvmc(n, mu, kp)
Arguments
n
The number of random variates required.
mu
The required mean direction, mu.
kp
The required concentration, kappa.
Value
A vector of length n containing VM random variates.
keesmulder/circglmbayes documentation built on July 24, 2022, 6:39 a.m.
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| rvmc | R Documentation |
Generate a random variate from the von Mises distribution
Description
This function generates a set of data from the von Mises distribution. If kappa is very small, return a circular uniform draw, as otherwise the algorithm will fail.
Usage
rvmc(n, mu, kp)
Arguments
n |
The number of random variates required. |
mu |
The required mean direction, mu. |
kp |
The required concentration, kappa. |
Value
A vector of length n containing VM random variates.
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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