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 sigma
has density given by
f(x)= \mu \sigma \exp(-\mu x)(1 - (1 - \sigma)\exp(-\mu x))^{-2},
for x > 0
, \mu > 0
and \sigma > 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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