ReversalPowerExponentialPower {powdist} | R Documentation |
Density, distribution function, quantile function and random generation for the reversal power exponential power distribution with parameters mu, sigma, lambda and k.
drpexpow(x, lambda = 1, mu = 0, sigma = 1, k = 0, log = FALSE)
prpexpow(q, lambda = 1, mu = 0, sigma = 1, k = 0, lower.tail = TRUE,
log.p = FALSE)
qrpexpow(p, lambda = 1, mu = 0, sigma = 1, k = 0, lower.tail = TRUE,
log.p = FALSE)
rrpexpow(n, lambda = 1, mu = 0, sigma = 1, k = 0)
x , q |
vector of quantiles. |
mu , sigma |
location and scale parameters. |
k , lambda |
shape parameters. |
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. |
The reversal power exponential power distribution has density
f(x)=[\lambda/\sigma][f((x-\mu)/\sigma)][F((x-\mu)/\sigma)] ^(\lambda-1)
,
where -\infty<\mu<\infty
is the location paramether, \sigma^2>0
the scale parameter and \lambda>0
and k the shape parameters.
drpexpow(1, 1, 3, 4, 1)
prpexpow(1, 1, 3, 4, 1)
qrpexpow(0.2, 1, 3, 4, 1)
rrpexpow(5, 2, 3, 4, 1)