Adjust Skew-Lognormal Distribution Parameters for Sensitivity Analyses

Expands (scale_mult > 1) or reduces (scale_mult < 1) the scale parameter of the Skew-Lognormal distribution while preserving its mean and shapelog. The adjustment is made on the natural scale (i.e. for x, not for log(x)), mirroring sens_lnorm(), to which it reduces when shapelog = 0.

Usage

sens_skewlnorm(
  locationlog,
  scalelog,
  shapelog,
  scale_mult = 2,
  ...,
  meanlog,
  sdlog,
  shape,
  sd_mult
)

Arguments

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.

scale_mult

A non-negative multiplier on the scale of the distribution.

...

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.

sd_mult

A non-negative multiplier on the scale of the distribution.

Value

A named list of the adjusted distribution's parameters.

See also

Other sens_dist: sens_beta(), sens_exp(), sens_gamma(), sens_gamma_pois(), sens_gamma_pois_zi(), sens_lnorm(), sens_neg_binom(), sens_norm(), sens_pois(), sens_skewnorm(), sens_student()

Examples

sens_skewlnorm(0, 1, 2, 2)
#> $locationlog
#> [1] -0.6406637
#> 
#> $scalelog
#> [1] 1.441698
#> 
#> $shapelog
#> [1] 2
#> 
sens_skewlnorm(0, 1, 2, 0.8)
#> $locationlog
#> [1] 0.1720714
#> 
#> $scalelog
#> [1] 0.8620703
#> 
#> $shapelog
#> [1] 2
#>