miebl {miebl}R Documentation

Compute relevant probabilities and estimates for selecting performance criteria

Description

Compute relevant probabilities and estimates for selecting performance criteria

Usage

miebl(n, tr = 0.9, shape1 = 0.5, shape2 = shape1, a = 0.05)

Arguments

n

number of trials

tr

true desired mastery level (default is 90%)

shape1

shape1 parameter for beta prior (default is 0.5)

shape2

shape2 parameter for beta prior (default is shape1 which means default is Jeffreys prior)

a

significance level (defaul is 0.05)

Value

A list of tables

Examples

miebl(n=5,tr=0.8,shape1=1,a=0.10)
# Creates results for 5 trials for 80% true mastery level w/ uniform prior and 0.10 significance.

[Package miebl version 0.1.0 Index]