JP.ci.nt: Normal-theory confidence interval for Jones-Pewsey parameter...
In ClairBee/AS.circular: ArchStats: circular functions
Description
Usage
Arguments
Value
Examples
Description
Obtain nominal 100(1-alpha)
Usage
1
JP.ci.nt(jp.ests, alpha = 0.05)
Arguments
jp.ests
List (as output by JP.mle) containing named estimates of mu, kappa and psi, and the Hessian matrix HessMat of the optimised parameters.
alpha
Significance level of confidence interval to be obtained. Default is 0.05 (95% confidence interval).
Value
A list containing estimates of mu, kappa and psi, and the upper and lower bounds of the confidence intervals calculated.
Examples
1
ClairBee/AS.circular documentation built on Jan. 24, 2020, 3:57 p.m.
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Description Usage Arguments Value Examples
Description
Obtain nominal 100(1-alpha)
Usage
1 | JP.ci.nt(jp.ests, alpha = 0.05)
|
Arguments
jp.ests |
List (as output by |
alpha |
Significance level of confidence interval to be obtained. Default is 0.05 (95% confidence interval). |
Value
A list containing estimates of mu, kappa and psi, and the upper and lower bounds of the confidence intervals calculated.
Examples
1 |
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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