quantsig: Sigmoidal quantile function estimator
In quantsig: Sigmoidal Quantile Function Estimator
quantsig R Documentation
Sigmoidal quantile function estimator
Description
This function implements the sigmoidal quantile function estimator, which is a smooth nonparametric quantile function estimator based on a newly defined generalized expectile function.
Usage
quantsig(x, p)
Arguments
x
a numeric whose sample quantiles are wanted.
p
the probability with values in (0,1).
Value
The estimated quantile.
Author(s)
Alan Hutson, Han Yu
References
Hutson AD. The generalized sigmoidal quantile function.
Communications in Statistics-Simulation and Computation. 2024 Feb 1;53(2):799-813.
Examples
x <- c(1, 2, 3, 4, 5, 6, 7, 8, 8, 9)
quantsig(x, 0.5)
quantsig documentation built on April 11, 2025, 6 p.m.
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| quantsig | R Documentation |
Sigmoidal quantile function estimator
Description
This function implements the sigmoidal quantile function estimator, which is a smooth nonparametric quantile function estimator based on a newly defined generalized expectile function.
Usage
quantsig(x, p)
Arguments
x |
a numeric whose sample quantiles are wanted. |
p |
the probability with values in (0,1). |
Value
The estimated quantile.
Author(s)
Alan Hutson, Han Yu
References
Hutson AD. The generalized sigmoidal quantile function. Communications in Statistics-Simulation and Computation. 2024 Feb 1;53(2):799-813.
Examples
x <- c(1, 2, 3, 4, 5, 6, 7, 8, 8, 9)
quantsig(x, 0.5)
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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