sens_student {extras} | R Documentation |
Adjust Student's t Distribution Parameters for Sensitivity Analyses
Description
Expands (sd_mult > 1
) or reduces (sd_mult < 1
) the standard deviation
of the Student's t distribution. Because the variance of this distribution
is not defined for every degree of freedom, the adjustment to the standard
deviation is approximate, and the mean of the adjusted distribution can
be expected to have shifted.
Usage
sens_student(mean, sd, theta, sd_mult = 2)
Arguments
mean |
A numeric vector of the means. |
sd |
A non-negative numeric vector of the standard deviations. |
theta |
A non-negative numeric vector of the dispersion for the mixture models (student, gamma-Poisson and beta-binomial). |
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()
Examples
sens_student(10, 3, 0.1, 2)
sens_student(10, 3, 0.1, 0.8)