egeom: Expectiles of geometric distribution
In AntoineUC/Expectrem: Bias-reduced estimation of extreme value index and extreme quantiles, expectiles and Expected Shortfalls
egeom R Documentation
Expectiles of geometric distribution
Description
This function computes the expectiles of the geometric distribution.
Usage
egeom(probs,p)
Arguments
probs
Numeric vector of probabilities with values in (0,1).
p
Success probability. Must be between 0 and 1.
Details
The geometric distribution with prob = p has density p(x) = p (1-p)^x for x = 0, 1, 2, …, 0 < p ≤ 1.
Author(s)
Antoine Usseglio-Carleve
AntoineUC/Expectrem documentation built on June 9, 2025, 1:48 p.m.
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| egeom | R Documentation |
Expectiles of geometric distribution
Description
This function computes the expectiles of the geometric distribution.
Usage
egeom(probs,p)
Arguments
probs |
Numeric vector of probabilities with values in (0,1). |
p |
Success probability. Must be between 0 and 1. |
Details
The geometric distribution with prob = p has density p(x) = p (1-p)^x for x = 0, 1, 2, …, 0 < p ≤ 1.
Author(s)
Antoine Usseglio-Carleve
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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