JP.ci.boot: Bootstrap 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.boot(data, alpha = 0.05, B = 9999, show.progress = T)
Arguments
data
Vector of angles over which maximum likelihood estimation is to be performed.
alpha
Significance level of confidence interval to be obtained. Default is 0.05 (95% confidence interval).
B
Number of bootstrap samples to use to obtain the confidence interval. Default is 9999.
show.progress
Boolean indicating whether or not to display a progress bar as the bootstrap is run.
Value
A list containing estimates of mu, kappa and psi, and the upper and lower bounds of the confidence intervals calculated.
Examples
1
ci.boot <- JP.ci.boot(q)
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.boot(data, alpha = 0.05, B = 9999, show.progress = T)
|
Arguments
data |
Vector of angles over which maximum likelihood estimation is to be performed. |
alpha |
Significance level of confidence interval to be obtained. Default is 0.05 (95% confidence interval). |
B |
Number of bootstrap samples to use to obtain the confidence interval. Default is 9999. |
show.progress |
Boolean indicating whether or not to display a progress bar as the bootstrap is run. |
Value
A list containing estimates of mu, kappa and psi, and the upper and lower bounds of the confidence intervals calculated.
Examples
1 | ci.boot <- JP.ci.boot(q)
|
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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