sens_skewnorm: Adjust Skew Normal Distribution Parameters for Sensitivity...

In extras: Helper Functions for Bayesian Analyses

Adjust Skew Normal Distribution Parameters for Sensitivity Analyses

Description

Expands (sd_mult > 1) or reduces (sd_mult < 1) the standard deviation of the Skew Normal distribution without changing the mean.

Usage

sens_skewnorm(mean, sd, shape, sd_mult = 2)

Arguments

mean	A numeric vector of the means.
sd	A non-negative numeric vector of the standard deviations.
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_student()

Examples

sens_skewnorm(10, 3, -1, 2)
sens_skewnorm(10, 3, 3, 0.8)

extras documentation built on April 4, 2025, 2:40 a.m.