Flat Prior

Specifies a constant density on the declared model parameter scale, for a scalar or each component of a vector. No prior density term or auxiliary parameters are added to the Stan model. Model-imposed parameter bounds still apply. An unbounded flat prior is improper; a proper posterior is not guaranteed.

Usage

prior_flat(init = prior_normal(0, 1))

Arguments

init

(Prior) distribution used only to generate initial values, including the usual jmpost.prior_shrinkage towards its centre. Its density and limits do not constrain the model parameter. Choose initial values compatible with any model-imposed bounds.

Value

A Prior object.

See also

prior_init_only()

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

Examples

prior_flat()
#> 
#> Prior Object:
#>    flat()
#> 
prior_flat(init = prior_normal(0, 2))
#> 
#> Prior Object:
#>    flat()
#> 
SurvivalWeibullPH(beta = prior_flat())
#> 
#> Weibull-PH Survival Model with parameters:
#>     sm_weibull_ph_lambda ~ gamma(alpha = 2, beta = 0.5)
#>     sm_weibull_ph_gamma ~ gamma(alpha = 2, beta = 0.5)
#>     beta_os_cov ~ flat()
#>