JP.mle: Maximum likelihood estimator for Jones-Pewsey parameters
In ClairBee/AS.circular: ArchStats: circular functions
Description
Usage
Arguments
Value
Examples
Description
Obtain maximum likelihood estimates of Jones-Pewsey parameters for a given data set.
Usage
1
Arguments
data
Vector of angles over which maximum likelihood estimation is to be performed.
Value
A list containing the maximum likelihood achieved, estimates of mu, kappa and psi, and the Hessian matrix of the optimised parameters.
Examples
1
mu <- JP.mle(k.2)$mu
ClairBee/AS.circular documentation built on Jan. 24, 2020, 3:57 p.m.
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Description Usage Arguments Value Examples
Description
Obtain maximum likelihood estimates of Jones-Pewsey parameters for a given data set.
Usage
1 |
Arguments
data |
Vector of angles over which maximum likelihood estimation is to be performed. |
Value
A list containing the maximum likelihood achieved, estimates of mu, kappa and psi, and the Hessian matrix of the optimised parameters.
Examples
1 | mu <- JP.mle(k.2)$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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