| dEEG | R Documentation | 
Density, distribution function, quantile function, 
random generation and hazard function for the Extended Exponential Geometric distribution 
with parameters mu and sigma.
dEEG(x, mu, sigma, log = FALSE) pEEG(q, mu, sigma, lower.tail = TRUE, log.p = FALSE) qEEG(p, mu, sigma, lower.tail = TRUE, log.p = FALSE) rEEG(n, mu, sigma) hEEG(x, mu, sigma)
| x, q | vector of quantiles. | 
| mu | parameter. | 
| sigma | parameter. | 
| log, log.p | logical; if TRUE, probabilities p are given as log(p). | 
| lower.tail | logical; if TRUE (default), probabilities are P[X <= x], otherwise, P[X > x]. | 
| p | vector of probabilities. | 
| n | number of observations. | 
The Extended Exponential Geometric distribution with parameters mu, 
and sigmahas density given by
f(x)= μ σ \exp(-μ x)(1 - (1 - σ)\exp(-μ x))^{-2},
for x > 0, μ > 0 and σ > 0.
dEEG gives the density, pEEG gives the distribution 
function, qEEG gives the quantile function, rEEG
generates random deviates and hEEG gives the hazard function.
Johan David Marin Benjumea, johand.marin@udea.edu.co
almalki2014modificationsRelDists
\insertRefadamidis2005extensionRelDists
old_par <- par(mfrow = c(1, 1)) # save previous graphical parameters
## The probability density function 
par(mfrow=c(1,1))
curve(dEEG(x, mu = 1, sigma =3), from = 0, to = 10, 
      col = "red", las = 1, ylab = "f(x)")
## The cumulative distribution and the Reliability function
par(mfrow = c(1, 2))
curve(pEEG(x, mu = 1, sigma =3), from = 0, to = 10, 
      ylim = c(0, 1), col = "red", las = 1, ylab = "F(x)")
curve(pEEG(x, mu = 1, sigma =3, lower.tail = FALSE), 
      from = 0, to = 6, ylim = c(0, 1), col = "red", las = 1, ylab = "R(x)")
## The quantile function
p <- seq(from = 0, to = 0.99999, length.out = 100)
plot(x = qEEG(p = p, mu = 1, sigma =0.5), y = p, 
     xlab = "Quantile", las = 1, ylab = "Probability")
curve(pEEG(x, mu = 1, sigma =0.5), from = 0, add = TRUE, 
      col = "red")
## The random function
hist(rEEG(1000, mu = 1, sigma =1), freq = FALSE, xlab = "x", 
     ylim = c(0, 0.9), las = 1, main = "")
curve(dEEG(x, mu = 1, sigma =1),  from = 0, add = TRUE, 
      col = "red", ylim = c(0, 0.8))
## The Hazard function
par(mfrow=c(1,1))
curve(hEEG(x, mu = 1, sigma =0.5), from = 0, to = 2, 
      col = "red", ylab = "Hazard function", las = 1)
par(old_par) # restore previous graphical parameters
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