fit_beta_mult_exp: Fit beta distributions for multiple experts

In tipmap: Tipping Point Analysis for Bayesian Dynamic Borrowing

Fit beta distributions for multiple experts

Description

Fit beta distributions to data elicited from multiple experts via the roulette method.

Usage

fit_beta_mult_exp(chips_mult)

Arguments

chips_mult

A dataframe or matrix containing weights. It should contain one row per expert and 10 columns, one for each bin, representing weights from 0 to 1.

Value

A dataframe containing the parameters of the individual beta distributions.

See Also

fit_beta_1exp.

Examples

beta_fits <- fit_beta_mult_exp(
  chips_mult = rbind(
    c(0, 0, 0, 0, 2, 3, 3, 2, 0, 0),
    c(0, 0, 0, 1, 2, 4, 2, 1, 0, 0),
    c(0, 0, 0, 2, 2, 2, 2, 2, 0, 0)
  )
)
print(beta_fits)

tipmap documentation built on Aug. 14, 2023, 5:09 p.m.