cred_int: Credible interval for pooled distribution

In expertsurv: Incorporate Expert Opinion with Parametric Survival Models

Credible interval for pooled distribution

Description

Returns the interval based on defined quantiles. The approach used only provides an approximate (although quite accurate) integral.

Usage

cred_int(plt_obj, val = "linear pool", interval = c(0.025, 0.975))

Arguments

plt_obj	A plot object from plot_expert_opinion.
val	The name of the opinion for which the interval will be generated.
interval	A vector of the upper and lower probabilities. Default is the standard 95% interval

Value

Credible interval based on the pooled distribution

Examples

param_expert_example1 <- list()
param_expert_example1[[1]] <- data.frame(dist = c("norm","t"),
    wi = c(0.5,0.5), # Ensure Weights sum to 1
    param1 = c(0.1,0.12),
    param2 = c(0.005,0.005),
    param3 = c(NA,3))
plot_opinion1<- plot_expert_opinion(param_expert_example1[[1]], 
              weights = param_expert_example1[[1]]$wi)
cred_int(plot_opinion1,val = "linear pool", interval = c(0.025, 0.975))

expertsurv documentation built on Oct. 5, 2023, 5:09 p.m.