Get posterior summaries for BSBHaz model
Get posterior summaries for BSBHaz model
BSBSumm(
bsbhaz,
variable = c("omega1", "omega2", "lambda1", "lambda2", "gamma", "theta", "s1", "s2")
)bsbhaz |
An object of class 'BSBHaz' created by
|
variable |
A character indicating which variable to get summaries from. |
A data frame with posterior sample means and a 95 % probability
interval. For omega1, omega2, gamma, and theta
also includes a column with the acceptance rates for the
Metropolis-Hastings algorithm.
t1 <- survival::Surv(c(1, 2, 3)) t2 <- survival::Surv(c(1, 2, 3)) init <- BSBInit(t1 = t1, t2 = t2, seed = 0) samples <- BSBHaz(init, iter = 10, omega_d = 2, gamma_d = 10, seed = 10) BSBSumm(samples, variable = "gamma") BSBSumm(samples, variable = "omega1") BSBSumm(samples, variable = "lambda1")
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