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.
sens_lnorm(meanlog, sdlog, sd_mult = 2)
A named list of the adjusted distribution's parameters.
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()
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
#>