Expands (sd_mult > 1) or reduces (sd_mult < 1) the standard deviation
of the Skew-Lognormal distribution while preserving its mean and shape.
The adjustment is made on the natural scale (i.e. for x, not for
log(x)), mirroring sens_lnorm(), to which it reduces when shape = 0.
Usage
sens_skewlnorm(meanlog, sdlog, shape, sd_mult = 2)
Arguments
- meanlog
A numeric vector of the means on the log scale.
- sdlog
A non-negative numeric vector of the standard deviations on the
log scale.
- shape
A non-negative numeric vector of shape.
- sd_mult
A non-negative multiplier on the standard deviation 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)
#> $meanlog
#> [1] -0.6406637
#>
#> $sdlog
#> [1] 1.441698
#>
#> $shape
#> [1] 2
#>
sens_skewlnorm(0, 1, 2, 0.8)
#> $meanlog
#> [1] 0.1720714
#>
#> $sdlog
#> [1] 0.8620703
#>
#> $shape
#> [1] 2
#>
