ugd {new.dist} | R Documentation |
Uniform-Geometric Distribution
Description
Density, distribution function, quantile function and random generation for the Uniform-Geometric distribution.
Usage
dugd(x, theta, log = FALSE)
pugd(q, theta, lower.tail = TRUE, log.p = FALSE)
qugd(p, theta, lower.tail = TRUE)
rugd(n, theta)
Arguments
x , q |
vector of quantiles. |
theta |
a parameter. |
log , log.p |
logical; if TRUE, probabilities p are given as log(p). |
lower.tail |
logical; if TRUE (default), probabilities are
|
p |
vector of probabilities. |
n |
number of observations. If |
Details
The Uniform-Geometric distribution with shape parameter \theta
, has
density
f\left( x\right) =\theta \left( 1-\theta \right) ^{x-1}LerchPhi
\left[ \left(1-\theta \right) ,1,x\right],
where
LerchPhi\left( z,a,v\right) =\sum_{n=0}^{\infty }\frac{z^{n}}
{\left(v+n\right) ^{a}}
and
x=1,2,...~,~~0<\theta <1.
Value
dugd
gives the density, pugd
gives the distribution
function, qugd
gives the quantile function and rugd
generates
random deviates.
References
Akdoğan, Y., Kuş, C., Asgharzadeh, A., Kınacı, İ., & Sharafi, F. (2016). Uniform-geometric distribution. Journal of Statistical Computation and Simulation, 86(9), 1754-1770.
Examples
library(new.dist)
dugd(1, theta=0.5)
pugd(1,theta=.5)
qugd(0.6,theta=.1)
rugd(10,theta=.1)