ibm: Impreicse Beta Model

In imprecise101: Introduction to Imprecise Probabilities

Impreicse Beta Model

Description

This function computes lower and upper posterior probabilities under an imprecise Beta model when prior information is not available.

Usage

ibm(n = 10, m = 6, s0 = 2, showplot = TRUE, xlab1 = NA, main1 = NA)

Arguments

n	total of trials
m	number of observations realized
s0	learning parameter
showplot	logical, TRUE by default
xlab1	x axis text
main1	main title text

Value

ibm returns data.frame containing posterior probabilities on the mean parameter space.

References

Walley, P. (1996), Inferences from Multinomial Data: Learning About a Bag of Marbles. Journal of the Royal Statistical Society: Series B (Methodological), 58: 3-34. https://doi.org/10.1111/j.2517-6161.1996.tb02065.x

Examples

tc <- seq(0,1,0.1)
s <- 2
ibm(n=10, m=6)

imprecise101 documentation built on Feb. 16, 2023, 6:08 p.m.