Log-Normal Prior Distribution — prior_lognormal • jmpost

Log-Normal Prior Distribution

Usage

prior_lognormal(mu, sigma, transform = NULL)

Arguments

mu: (number) mean of the logarithm.
sigma: (number) standard deviation of the logarithm.
transform: (PriorTransform | NULL) optional package-defined transformation from the model parameter to the prior density scale. See prior_transform() for support, Jacobians and examples. NULL keeps the prior on the model parameter scale.

Value

A Prior object.

See also

Other Prior: prior_beta(), prior_cauchy(), prior_const(), prior_const_vector(), prior_flat(), prior_gamma(), prior_horseshoe(), prior_init_only(), prior_invgamma(), prior_logistic(), prior_loglogistic(), prior_normal(), prior_normal_vector(), prior_std_normal(), prior_student_t(), prior_transform(), prior_uniform()

Examples

prior_lognormal(0, 1)
#> 
#> Prior Object:
#>    lognormal(mu = 0, sigma = 1)
#>