Density, distribution function, quantile function, random generation and hazard function for the Extended Exponential Geometric distribution with parameters mu and sigma.
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.
Returns
dEEG gives the density, pEEG gives the distribution function, qEEG gives the quantile function, rEEG
generates random deviates and hEEG gives the hazard function.
Details
The Extended Exponential Geometric distribution with parameters mu, and sigmahas density given by
f(x)=μσexp(−μx)(1−(1−σ)exp(−μx))−2,
for x>0, μ>0 and σ>0.
Examples
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 functionpar(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 functionp <- 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 functionhist(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 functionpar(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