Adjust Log-Normal Distribution Parameters for Sensitivity Analysis

Expands (sd_mult > 1) or reduces (sd_mult < 1) the standard deviation of the Log-Normal distribution. With high values of sdlog (i.e., > 9), and sd_mult > 1, the mean of the adjusted distribution can be expected to have a mean value that is very different from the original mean, however, the proportional difference in these values should not be very different.

Usage

sens_lnorm(meanlog, sdlog, 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.

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_neg_binom(), sens_norm(), sens_pois(), sens_skewnorm(), sens_student()

Examples

sens_lnorm(0, 1, 2)
#> $meanlog
#> [1] -0.5317277
#> 
#> $sdlog
#> [1] 1.436473
#> 
sens_lnorm(0, 1, 0.8)
#> $meanlog
#> [1] 0.1291027
#> 
#> $sdlog
#> [1] 0.861275
#>