get_summary_mult_exp: Summarize expert weights

In tipmap: Tipping Point Analysis for Bayesian Dynamic Borrowing

Summarize expert weights

Description

Computes minimum, maximum, mean and quartiles for expert weights.

Usage

get_summary_mult_exp(chips_mult, n = 500, expert_weight = NULL)

Arguments

chips_mult	Numeric matrix, containing expert weights.
n	Number of samples to be drawn to obtain summary statistics (defaults to 500).
expert_weight	Weights assigned to each expert (defaults to equal weights).

Value

A vector containing summary statistics.

Examples

get_summary_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)
  ), 
  n = 50
)

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