sens_beta: Adjust Beta Distribution Parameters for Sensitivity Analyses
Description
Expands (sd_mult > 1) or reduces (sd_mult < 1) the standard deviation
of the Beta distribution. The Beta distribution has a maximum variance of
mean(x) * (1 - mean(x), where mean(x) = alpha / (alpha + beta). If the
inputs produce a desired variance that is greater than the maximum possible
variance, or provides alpha and/or beta parameters that are < 1 and thus
push more probability weight towards extreme probability values, this
function returns alpha = 1 and beta = 1 (the uniform distribution).
Usage
sens_beta(alpha, beta, sd_mult = 2)
Value
A named list of the adjusted distribution's parameters.
Arguments
alpha
The first shape parameter of the Beta distribution.
beta
The second shape parameter of the Beta distribution.
sd_mult
A non-negative multiplier on the standard deviation of the
distribution.