Density, distribution, quantile function and random number generation for the skewed generalized error distribution parameterized in terms of mean, standard deviation, skew and shape parameters.
dsged(x, mu = 0, sigma = 1, skew = 1.5, shape = 2, log = FALSE)psged(
q,
mu = 0,
sigma = 1,
skew = 1.5,
shape = 2,
lower_tail = TRUE,
log = FALSE
)
qsged(
p,
mu = 0,
sigma = 1,
skew = 1.5,
shape = 2,
lower_tail = TRUE,
log = FALSE
)
rsged(n, mu = 0, sigma = 1, skew = 1.5, shape = 2)
d gives the density, p gives the distribution function, q gives the quantile function and r generates random deviates. Output depends on x or q length, or n for the random number generator.
vector of quantiles.
mean.
standard deviation.
skew parameter.
shape parameter.
(logical) if TRUE, probabilities p are given as log(p).
if TRUE (default), probabilities are \(P[X \le x]\) otherwise, \(P[X > x]\).
vector of probabilities.
number of observations.