ibm {imprecise101}

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)