SurvivalLogLogistic

This class extends the general SurvivalModel class for using the log-logistic survival model.

Usage

SurvivalLogLogistic(
  a = prior_lognormal(log(0.1), 5),
  b = prior_gamma(2, 5),
  beta = prior_normal(0, 2)
)

Arguments

a

(Prior) Prior distribution for the scale parameter a.

b

(Prior) Prior distribution for the shape parameter b.

beta

(Prior) Prior distribution for covariates coefficients beta.

Value

A SurvivalLogLogistic object.

Examples

SurvivalLogLogistic()
#> 
#> Log-Logistic Survival Model with parameters:
#>     sm_loglogis_a ~ lognormal(mu = -2.30259, sigma = 5)
#>     sm_loglogis_b ~ gamma(alpha = 2, beta = 5)
#>     beta_os_cov ~ normal(mu = 0, sigma = 2)
#>