sens_skewlnorm: Adjust Skew-Lognormal Distribution Parameters for Sensitivity...

In extras: Helper Functions for Bayesian Analyses

Adjust Skew-Lognormal Distribution Parameters for Sensitivity Analyses

Description

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)
sens_skewlnorm(0, 1, 2, 0.8)

extras documentation built on July 16, 2026, 1:07 a.m.