Skew-Lognormal Cumulative Distribution Function

Skew-Lognormal Cumulative Distribution Function

Usage

prob_skewlnorm(
  x,
  locationlog = 0,
  scalelog = 1,
  shapelog = 0,
  ...,
  meanlog,
  sdlog,
  shape
)

Arguments

x

A numeric vector of quantiles.

locationlog

A numeric vector of location parameters of log(x).

scalelog

A non-negative numeric vector of scale parameters of log(x).

shapelog

A numeric vector of shape parameters of log(x). Negative values result in leftward skew, while positive values result in rightward skew.

...

Unused.

meanlog

A numeric vector of location parameters of log(x). Described as "a numeric vector of the means on the log scale" prior to v. 0.10.1. Will be removed in a future version.

sdlog

A non-negative numeric vector of scale parameters of log(x). Described as "a non-negative numeric vector of the standard deviations on the log scale" prior to v. 0.10.1. Will be removed in a future version.

shape

A numeric vector of shape parameters of log(x). Will be removed in a future version.

Value

An numeric vector of the corresponding probabilities.

See also

Other prob_dist: prob_bern(), prob_beta(), prob_beta_binom(), prob_binom(), prob_exp(), prob_gamma(), prob_gamma_pois(), prob_gamma_pois_zi(), prob_lnorm(), prob_neg_binom(), prob_norm(), prob_pois(), prob_pois_zi(), prob_skewnorm(), prob_student(), prob_unif()

Examples

prob_skewlnorm(1:5)
#> [1] 0.5000000 0.7558914 0.8640314 0.9171715 0.9462397
prob_skewlnorm(1:5, shapelog = -2)
#> [1] 0.8524164 0.9899035 0.9991047 0.9998950 0.9999845
prob_skewlnorm(1:5, shapelog = 2)
#> [1] 0.1475836 0.5218793 0.7289581 0.8344480 0.8924949