jsu function

Johnson's SU Distribution

Density, distribution, quantile function and random number generation for Johnson's SU distribution parameterized in terms of mean, standard deviation, skew and shape parameters.

djsu(x, mu = 0, sigma = 1, skew = 1, shape = 0.5, log = FALSE)

pjsu(
  q,
  mu = 0,
  sigma = 1,
  skew = 1,
  shape = 0.5,
  lower_tail = TRUE,
  log = FALSE
)

qjsu(
  p,
  mu = 0,
  sigma = 1,
  skew = 1,
  shape = 0.5,
  lower_tail = TRUE,
  log = FALSE
)

rjsu(n, mu = 0, sigma = 1, skew = 1, shape = 0.5)

Arguments

• x, q: vector of quantiles.
• mu: mean.
• sigma: standard deviation.
• skew: skew parameter.
• shape: shape parameter.
• log: (logical) if TRUE, probabilities p are given as log(p).
• lower_tail: if TRUE (default), probabilities are $P[X \le x]$ otherwise, $P[X > x]$.
• p: vector of probabilities.
• n: number of observations.

Returns

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.