R: Selection of Normal Prior Given Knowledge of Two Quantiles

normal.select {LearnBayes} | R Documentation

## Selection of Normal Prior Given Knowledge of Two Quantiles

### Description

Finds the mean and standard deviation of a normal density that matches knowledge of two quantiles of the distribution.

### Usage

    normal.select(quantile1, quantile2)

### Arguments

`quantile1` | list with components p, the value of the first probability, and x, the value of the first quantile
`quantile2` | list with components p, the value of the second probability, and x, the value of the second quantile

### Value

`mean` | mean of the matching normal distribution
`sigma` | standard deviation of the matching normal distribution

### Author(s)

Jim Albert

### Examples

    # person believes the 15th percentile of the prior is 100
    # and the 70th percentile of the prior is 150
    quantile1=list(p=.15,x=100)
    quantile2=list(p=.7,x=150)
    normal.select(quantile1,quantile2)

[Package LearnBayes version 2.15 Index]