confquant.perc: Construct the Confidence Quantile Function from a Percentile...
In ddarmon/clp: R Package for Computing Confidence Functions to Accompany CLP
Description
Usage
Arguments
Value
References
Description
Construct the percentile confidence quantile function from a bootstrap sample constructed using
bcaboot.
Usage
1
confquant.perc(bc, p, param)
Arguments
bc
an object returned by percboot
p
the desired probability value at which to evaluate the confidence quantile function
param
which parameter value to construct the percentile confidence quantile function for
Value
The percentile confidence quantile function for param evaluated at p.
References
Tore Schweder and Nils Lid Hjort. Confidence, likelihood, probability. Vol. 41. Cambridge University Press, 2016.
Bradley Efron and Trevor Hastie. Computer Age Statistical Inference. Vol. 5. Cambridge University Press, 2016.
ddarmon/clp documentation built on Jan. 25, 2021, 6:22 p.m.
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Description Usage Arguments Value References
Description
Construct the percentile confidence quantile function from a bootstrap sample constructed using bcaboot.
Usage
1 | confquant.perc(bc, p, param)
|
Arguments
bc |
an object returned by percboot |
p |
the desired probability value at which to evaluate the confidence quantile function |
param |
which parameter value to construct the percentile confidence quantile function for |
Value
The percentile confidence quantile function for param evaluated at p.
References
Tore Schweder and Nils Lid Hjort. Confidence, likelihood, probability. Vol. 41. Cambridge University Press, 2016.
Bradley Efron and Trevor Hastie. Computer Age Statistical Inference. Vol. 5. Cambridge University Press, 2016.
R Package Documentation
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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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